Title of the talk/workshop

Abstract of the talk/workshop

Category of the talk/workshop

Duration (including Q&A)

Level of Audience

Speaker Bio

Prerequisites(if any)

Title of the talk/workshop
AI & Climate Change

Abstract of the talk/workshop
Have you ever wondered how the work you are doing impacts the world? How can you contribute to addressing the monumental climate change challenge?

As we know, AI/ML is one of the fastest-growing research areas, and we also know one of the biggest problems that we have to address today is Climate Change. So please join us on 11-June-2022 at the meet-up; we will discuss how you as an individual and AI can help mitigate the problem.

Category of the talk/workshop
ML & AI

Duration (including Q&A)
45 mins

Level of Audience
All

Speaker Bio
Ladle Patel is a Full-Stack Data Scientist Senior Manager with ten years of experience in Data Science, Machine Learning, Statistics, MLOps, Big Data, Data Engineering, Software Engineering, Leadership, and Managerial skills. Co-founder of the community called "unlearning-relearning" with the vision to upskill and guide rural and small-town students.Passionate about demonstrating Data Science to non-technical business audiences. A regular speaker at local Data Science meetups. And AI/ML comic author at medium.com.

Prerequisites(if any)
NA

Title of the talk/workshop

Avoiding the Pitfalls of Deep Learning: Solving Model Overfitting with Regularization and Dropout

Abstract of the talk/workshop
Understanding how to create a deep learning neural network is an essential component of any data scientist's knowledge base. This talk covers some of the challenges that arise when training neural networks. It focuses on the problem of overfitting and its potential remedy: regularization. Learners should have a basic understanding of linear algebra and calculus at a minimum level.

• Discover what overfitting means and how to recognize it in deep learning models
• Understand how to sample your data to reduce the likelihood of overfitting
• Learn about regularization and its use as a remedy for overfitting

Category of the talk/workshop

• Data Science, Machine Learning, AI and Neural Networks

Duration (including Q&A)

60 minutes

Level of Audience

• Internediate level
• Assuming audience have a basic knowledge of neural network Concepts
• In addition to this I'm assuming that you do have a basic understanding of linear algebra and calculus but we won't be using anything more complicated than a derivative and a vector product :)

Speaker Bio

A software professional and community speaker with 12+ years of rich experience in Automation & Tool development of software applications using Python, Django & Flask. Currently, working as a Sr. Software Engineer at F5, in Cyber Security Domain and working on F5 Distributed Cloud Bot Defense solution.

An AI/ML enthusiast with an interest in Deep Learning and Computer Vision and a promoter of DL framework PyTorch.

Lots of desire to learn new exciting things!

Prerequisites(if any)

• I recommend to watch the video : Deep Learning for Beginners (From Basics to Neural Networks)
  

Title of the talk/workshop
Customizing Django Admin Interface

Abstract of the talk/workshop
Django admin is an integral part of any Django project development. There is constant need or ask to update
the interface such as like adding extra columns, adding filters, making lists searchable and even overriding admin templates.

In this talk we will talk about:

• Django Admin Interface
• Adding attribute columns
• Customizing Django Admin login screen by overriding Django OOTB templates.

Category of the talk/workshop
Web

Duration (including Q&A)
40 mins

Level of Audience
Beginner/Intermediate

Speaker Bio
Bharat has 3.5+ years of experience working as a JavaScript and AEM Developer.
I have been exploring python frameworks by creating projects on Django, flask with angular and react.
I have experience with websites, plugins, automation scripts, performance analysis etc.
Twitter: https://twitter.com/@293bharat
Email: [email protected]

Prerequisites(if any)
You should have some knowledge of python and Django framework(https://www.djangoproject.com/).
To follow along with demo, you can have pip and Django installed on your system.

Touca: A new way of testing complex software

Abstract
Touca, is an early stage startup building an automated regression testing system that helps engineering teams understand the true impact of their code changes on the behavior and performance of their software. Here's a short video if you like to learn more about Touca. We just released our Python SDK which enables software engineers writing code in Python to use our platform. We'd like to showcase this SDK, explain how it works, and do a live demo of performing regression testing with Python using Touca.

Category
Developer tools and automation: Testing

Duration (including Q&A)
30 to 45 min (including Q&A)

Level of Audience
Everyone

Speaker Bio
Founder at Touca.io
Previously: Senior software engineer at Vital Images, a Canon Group company
Previously: Software engineer at VMware Carbon Black
Email: [email protected]
Experience: 5y

Title of the talk/workshop
Writing your own container in python

Abstract of the talk/workshop

"What I cannot create, I do not understand" - Richard Feynman

Containers are ubiquitous. We use container software like Dockers and Linux Containers (LXCs) every day without knowing what goes inside that black box. In this talk, we will explore the principles of containerization and how it functions in the Linux ecosystem. We will build a mini container in Python on top of Linux. We will learn how modern containers function and how we can realize the same functionalities in our mini container.

Category of the talk/workshop
8. Developer tools and automation - Testing, CI/CD, Containers, Orchestration, Logging and Monitoring, Cloud, SRE

Duration (including Q&A)
25 minutes (20+5)

Level of Audience
Intermediate

Speaker Bio
I am a budding computer engineer in my senior year and I have been using Python for about 3 years. Computers have always fascinated me and so have the brilliant people who brought computers to where they are today. I have worked in various domains ranging from software development to machine learning.

• I am pursuing my undergraduate degree from Vellore Institute of Technology, Chennai
• Currently interning at Microsoft, India

mail: [email protected]

Prerequisites(if any)
Users should have some familiarity with containers and Linux.

Title of the talk/workshop

Micro Python with ESP32 for Building IoT Devices

Abstract of the talk/workshop

I'll be showing you how to bootload Micro Python Firmware on ESP32, and will show you how to get started with Micro Python on ESP32, interfacing sensors, controllers, and communication modules. Create an end-to-end IoT Architecture using Micro Python Firmware on ESP32.

Category of the talk/workshop

Embedded Python and IoT

Duration (including Q&A)

3 to 4 hours

Level of Audience

Beginner

Speaker Bio

I'm Madhu Parvathaneni, CEO and Solutions Architect at Make Skilled and had 13+years of experience in IoT and cutting-edge technologies like integrating AI/ML with IoT, Blockchain with IoT and etc. Trained more than 1.8 lakh students since 2010 and trained more than 5000 faculties across India. Email to contact is [email protected] and the contact number is 0-7893015625

Prerequisites(if any)

If you have ESP32, you can get that along with Arduino Software. If you have analog and digital sensors, you can bring it and you can use them in workshop for demos.

Title of the talk/workshop

Kickstarting Networking programming with packet manipulation

Abstract of the talk/workshop

;TLDR

This workshop is for all the Mr. Robot fans out there (clichéd?). Everyone who has wondered about how exactly networking works? How the stuff you are looking at right now (this abstract), reached you from thousand miles away through nothing but wires and see that happen programmatically.

; Tech version -

We will be following my blog (work in progress) - https://markroxor.github.io/blog/2020/05/09/networking/

Open Systems Interconnection (OSI) model
We are going to discuss and work our way to transport layers (OSI model). Theoratically discussing about each protocol and why it is the way it is.

• Data Link layer (MAC/ARP)
• Network Layer (IP/ICMP)
• Transport Layer (TCP/UDP)

Live Action -

• unwrap_pack - Unravelling each packet, peeling its layers one-by-one and verifying it's contents.
• arply - ARP cache poisoning
• pseudo port - Opening multiple fake ports to misguide attacker

source code for which is available at https://github.com/markroxor/sneakey/blob/master/tools

Category of the talk/workshop

Networking and Security - Network Programming, Network Security and Encryption

Duration (including Q&A)

• Session 1 - 1.5-2 hours (OSI Model)
• Session 2 - 1.5-2 hours (Live action)

Level of Audience

Intermediate.
For later stages of workshop, it is preferable that audience have minimal understanding of c/c++ code.

Speaker Bio

Mohit has graduated from IIT ISM Dhanbad in 2017, currently working as a ML Engg in Niveshi - a startup with <5 employees working towards cracking stock market using RL.
Check him out @ https://github.com/markroxor with a couple of decent libraries like fromscratchtoml (a step towards ML library you really understand) and is currently working on sneakey (a cli interface for pentesting using basic exploits).
Contact - [email protected]
Years of Exp - 3

Prerequisites(if any)
Audience is requested to have a unix based machine and a decent internet connection to download source code and light weight libraries.

Title of the talk/workshop

Creating Secure OTPs: Best Practices

Abstract of the talk/workshop

I will be presenting on "Creating Secure OTPs: Best Practices." Initially, I'll discuss the importance of OTPs (One-Time Passwords) and highlight different types, such as time-based and HMAC-based OTPs. Additionally, I'll explain why relying solely on random number generators for OTP generation isn't ideal due to potential security threats.

Next, I'll delve into the cryptographic approach used to generate OTPs, emphasizing its role in enhancing security. I'll also introduce the PyOTP Python library, which simplifies the OTP generation process. A live demonstration using PyOTP will illustrate its functionality.

Following the demonstration, I'll open the floor to audience questions, encouraging a deeper understanding of the topic. In conclusion, I'll stress the significance of adhering to secure OTP generation practices to effectively mitigate security risks.

Category of the talk/workshop

Core Python - Language Features, Python Implementations, Extending Python and Standard Library, language internals.

Duration (including Q&A)

20 min.

Level of Audience

Intermediate

Speaker Bio

1. Bio - I am a Systems Engineer at TCS with a passion for community engagement and open source contributions. I have worked as a full stack developer with Python based frameworks such as Django, Flask etc. and all major JavaScript frameworks. Throughout my career, I've attended, organized, and spoken at numerous community events, sharing insights and experiences with fellow enthusiasts. As an active open source contributor and maintainer, I strive to foster collaboration and innovation within the developer community.

2. Company - Tata Consultancy Services

3. Email - [email protected]

4. Years of Exp - 2

Prerequisites(if any)

Title of the talk/workshop

Abstract of the talk/workshop

Category of the talk/workshop

Duration (including Q&A)

Level of Audience

Speaker Bio

Prerequisites(if any)

Title of the talk/workshop
Gaining familiarity with serverless programming and writing serverless web applications

Abstract of the talk/workshop
This talk would provide an overview of serverless programming with a focus on AWS Lambda.

We will write a web application which has CRUD abilities. We will rely on AWS Lambda for it and will not start or provision any server.

We will discuss several scenarios where serverless is a good choice and contrast it with situations where serverless isn't such a good choice.

The technologies we will discuss are:

• AWS Lambda
• Amazon API Gateway
• Chalice

Duration (including Q&A)
1:30 Hours

Level of Audience
Intermediate

Agenda

We will split the workshop into three sections:

• Introduction (15 minutes)
• Code deep dive (60 minutes)
• Tooling around apis (15 minutes)

We will cover the following areas under Introduction.

• What is Serverless programming.
• Are there really no servers involved.
• What are the advantages of serverless.
• Lambda and Cloud Functions

We will cover the following areas under Code deep dive

• Writing a "Hello World" with Lambda without using any library or framework.
• Writing a Flask application which communicates with RDS
• Using AWS Chalice to manage our CRUD application
• Discussing other scenarios which can be handled with Serverless. eg: Redis events, Elasticsearch events etc.

Tooling around serverless

• serverless.com
• Zappa
• Zeit

We will have the last 10 minutes for Q&A.

Speaker Bio

• Company - Agiliq (https://www.agiliq.com/)
• Github - @akshar-raaj
• LinkedIn - https://www.linkedin.com/in/raajakshar

Prerequisites
A familiarity with Flask and AWS.

The AWS Services this talk relies on are S3 and API Gateway. Familiarity with them would be helpful but are not mandatory.

Title of the talk/workshop

modern observability with opentelemetry python

Abstract of the talk/workshop

In this talk, I want to introduce people to the new observability/monitoring standard rapidly emerging in the cloud native space. OpenTelemetry is the second most popular project under the CNCF foundation. It enables one to instrument and collect information that can be extremely powerful for debugging issues. Its auto instrumentation gets you up and running quickly with rich traces, metrics, and, optionally, logs with a correlation b/w them. Overall, this will be about the value it provides and can potentially make people to revisit their monitoring strategies.

Category of the talk/workshop

Developer tools and automation (Monitoring, Logging, and Tracing)

Duration (including Q&A)

45 min.

Level of Audience

Intermediate to Advance

Speaker Bio

1. I am a software engineer based out of hyderabad. Avid open source enthusiast and Pythonista. I am one of the maintainers of the opentelemetry-python. I like cycling and endurance sports in general.
2. SigNoz (https://signoz.io)
3. [email protected]
4. 4 years

Prerequisites(if any)

Can I carry my Mac machine so I can set it up for some demo?

Title of the talk/workshop
Generative AI in Enterprises @ Scale

Abstract of the talk/workshop
In the rapidly evolving landscape of Generative AI, its integration into enterprise operations has become a pivotal factor for competitive advantage. This talk aims to dissect the multifaceted approach of deploying Generative AI at scale in businesses, focusing on pragmatic frameworks and efficient architectures.

Category of the talk/workshop
Data Science, Machine Learning, and AI

Duration (including Q&A)
1 hour

Level of Audience
Intermediate

Speaker Bio
Please do include the following things

1. Generative AI Evangelist @ Capgemini Innovation Team | LinkedIn Top Voice | Creator of "AI Anytime" YouTube Channel
2. Capgemini (Innovation Team)
3. [email protected]
4. 6 Yrs

IoT with Python (Micropython/Circuitpython)

Abstract of the talk/workshop

Content to be covered (Online by a Blues Employee /Offline by an Amplifier)

• Miceopython/Circuit Python on a microcontroller
• Sensors and sensor data (Basics to connections)
• Getting sensor data
• Sending data to the cloud via what? (Understanding different mediums like wifi, ble, cellular, etc)
• Wireless Protocols
• Selecting the medium and protocol
• Visualizing data on a dashboard(Ubidots/data cake)
• Blues Demo and why cellular IoT

Category of the talk/workshop: Embedded Python and IOT

Duration (including Q&A)" 90-120min

Level of Audience: Beginner-Intermediate

Speaker Bio

Prerequisites(if any)

Dear Sir/Madam,

I hope this message finds you well. As an Assistant Professor at KL University Hyderabad, I am writing to request the possibility of organizing a workshop on Python Full Stack Development in the month of October.

Given the significance of Python in both academia and industry, I believe that a workshop on Full Stack Development using Python would be highly beneficial to our students and faculty.

I kindly request your assistance in finding a knowledgeable and experienced speaker for this topic who is available in October. If you need any further information or have specific requirements for the talk, please let me know, and I will be happy to provide the necessary details.

I believe that hosting a workshop on Python Full Stack Development at KL University Hyderabad in October will significantly contribute to the professional development of our students and enrich our academic environment.

Thank you for considering my request. I look forward to your response and the possibility of conducting this informative event on our campus in October.

Best Regards,

Mr Chanda Raj Kumar,
Assistant Professor,
KL University Hyderabad.

Title of the talk/workshop
Programming Microcontrollers using CircuitPython

Abstract of the talk/workshop
Programming microcontrollers can be intimidating for beginners, especially when it includes setting up toolchain including cross-compilers, assemblers to flashing the code using special techniques and not to mention the bit twiddling it needs at register level to perform any function. As IoT becomes more mainstream and uC becomes more powerful it is made possible to program these constraint devices using our fav programming language like MicroPython and CircuitPython. In this talk I'll be talking about CircuitPython project, setting up n running and showcasing basic projects anyone can do with some knowledge of hardware and python to make makers projects

Category of the talk/workshop
Embedded Python and IOT - MicroPython, Python on Hardware, Robotics, Arduino and Raspberry

Duration (including Q&A)
40 mins

Level of Audience
Begineer

Speaker Bio

1. Speaker Bio (Brief) - https://codensolder.com/about
   Embedded software engineer, FPV Drone Racing Pilot, Maker, Open source software and hardware promoter
2. Company- Mentor Graphics, A Siemens Business
3. Email - [email protected]
4. Years of Exp - 5

Title of the talk/workshop
Sharding Using Postgres FDW and Declarative Partitioning

Abstract of the talk/workshop

1. When to shard. Tuning Postgres before implementing sharding (eg: Indexing, Partitioning, How to analyze query plan)
2. pg extensions comparison - DBLink, FDW, Citus
3. Declarative Partitioning
4. Sharding with postgres_fdw
5. Handling migrations in Django

Category of the talk/workshop
Others

Duration (including Q&A)
25 mins

Level of Audience
Beginner/Intermediate

Speaker Bio

1. Speaker Bio (Brief)
   • Ajay Reddy Kanduru is a software engineer who worked with various technologies including Database Architecture, Python, Django, Celery, OAuth, Data Structures, and Algorithms.
     Looking forward to sharing knowledge and having discussions with others regarding Sharding strategies.
2. Company/College
   • Gridlex Services Pvt Ltd
3. Email
   • [email protected]
4. Years of Exp
   • 2 years

Prerequisites(if any)
Not Required

Title of the talk/workshop
Observability for Containerized Applications using AWS

Abstract of the talk/workshop
Observability for Containerized Applications using AWS would be a comprehensive workshop that covers the importance of monitoring and observability in containerized applications, AWS services such as CloudWatch, X-Ray, and tools like Terraform and Python. Attendees will learn how to set up container infrastructure using Terraform, collect and analyze container logs and metrics with Python, implement tracing and distributed tracing for containerized applications, and implement advanced monitoring techniques and best practices.

Category of the talk/workshop
Developer tools and automation

Duration (including Q&A)
3 hours (with 15 mins break)

Level of Audience
Intermediate

Speaker Bio

1. Speaker Bio (Brief) - Sanchit is an experienced Software Engineer based in Hyderabad and currently working as an Engineering Manager at EPAM India. In his current role, Sanchit is responsible for leading the Python Discipline at EPAM India and works as a Python+AWS consultant for one of EPAM's customers. With extensive experience developing backend engineering projects, he has worked across diverse domains such as healthcare, ad tech, infrastructure, and automation. His primary areas of interest include Infrastructure, Cloud, and SRE. Furthermore, He is actively involved in promoting the growth of the software community in Hyderabad, as a co-organizer of open-source communities such as HydPy and DSUGHyd.
2. Company - EPAM Systems
3. Email - [email protected]
4. Years of Exp - 13

Prerequisites(if any)

• basic understanding of python & terraform

Title of the talk/workshop
OAuth 2.0 and Modern Authentication

Abstract of the talk/workshop
Security is an integral part of any application. We focus a lot on the new features that can be added to the application but at times can undermine the overall security of the application and hence risk our systems to attacks that may compromise the user data and our goodwill with our users.
As part of this talk, we'll briefly talk about the Traditional Client Server Authentication model, OAuth / OAuth 1.0 and finally modern authentication with OAuth 2.0.

Will talk about AAA - Authentication, Authorisation and Access Management

1. Brief introduction to traditional authentication
2. OAuth introduction
3. OAuth 2.0
4. Demo
5. Additional Info

Category of the talk/workshop
Others / Application Security

Duration (including Q&A)
1 hour

Level of Audience
Beginner / Intermediate

Speaker Bio
Jatin comes with a total of 5.5+ years of industry experience ranging from Tools and Automation, Cloud Services, REST APIs, Programmatic Advertising and currently working on a help-desk product integrating GSuite and O365 mailbox(es) to the application via OAuth, where most part of the journey has been along the lines of Core Python and Standard Library
I am currently working with Spiceworks as Software Engineer II. You can find me on Twitter @_JatinGoel
Email: [email protected]

Prerequisites(if any)
If you wish to follow along the demo, would be best to have a system with Python 3, a Google / Auth0 account which will be used to create our OAuth 2.0 app. Will update here if any other pre-reqs are required.

Title of the talk/workshop
Hierarchical Text Classification

Abstract of the talk/workshop
Enterprises have millions of data records getting generated on a daily basis in free form text. Generating intent/insights of these data points is a challenging task. These data intent needs to be understood at multiple levels forming a hierarchy, i.e., a tree structure where leaves of the tree provide information at the most granular level. As insights from the data, being the main drivers of today's businesses, we are supposed to solve these hierarchical intent-based structures using multiple models in combination. To provide a solution to these problems, numerous approaches have been deployed in the past from local-based classifiers to global classifiers, each one having its own advantages and disadvantages. We will walk through the state of the art technique being used to solve these conundrums.

Category of the talk/workshop
Data Science, Machine Learning and AI

Duration (including Q&A)
30 mins

Level of Audience
Everyone

Speaker Bio
Madhur comes with a total of 10 years of exp. ranging from Software Development to mainstream Data Science projects. Currently focusing on NLP related problems in Verizon.
email: [email protected]

Automate the complete Test Execution for your Python project

A Test Automation framework is a constructive blend of various guidelines, coding standards, concepts, processes, practices, project hierarchies, modularity, reporting mechanism, test data injections etc to pillar automation testing. This talk will cover the starting point of architecting our own test automation framework by identifying the various components, putting all blocks together and discussing few use case implementations.

Test Automation

30 mins

Intermediate

Senior Software Engg with more than a decade of experience, currently working with Morgan Stanley

Prerequisites(if any)

Title of the talk/workshop
Memory Management in Python - The Basics

Abstract of the talk/workshop
We'll be talking about how objects are stored in stored in memory and how they're garbage collected.

1. Reference count
2. Garbage collection
3. Generational garbage collection
4. Some gotchas
5. And then finally, some quick optimizations you can do in your Python code

Category of the talk/workshop
Core Python

Duration (including Q&A)
45 minutes

Level of Audience
Beginner / Intermediate

Speaker Bio

Jatin comes with a total of 4.5+ years of industry experience ranging from Tools and Automation, Cloud Services, REST APIs and right now Programmatic Advertising, where most part of the journey has been along the lines of Core Python and Standard Library
I am currently working with Spiceworks as Software Engineer II. You can find me on Twitter @_JatinGoel
Email: [email protected]

Prerequisites(if any)
Nothing specific, but having some basic knowledge of Python would be helpful.

Prerequisites(if any)
NA

Role of AI in XBRL tagging

All the companies registered in us , india and european stock exchanges have to submit their quarterly financial statements with xbrl tagging

1. Each numerical entity has to be tagged with precise XBRL tag from universally maintained taxonomy.
2. Rise of multi head attention mechanism in Large language models paved way to automate this time consuming task.
3. Datasets are available for fine tuning.
4. Practical demo could be shown on BERT and other open source models.

AI in financial services

50 minutes

Speaker Bio

1. Hello my name is murali, pre-final computer science engineering student from Anna University Chennai. I have deep interest in Machine learning and AI. I have my fundamentals strong on machine learning and deep learning concepts. I have worked with startups in the machine learning team. Also i have research experience as well.
2. Mail Id - [email protected]
3. exp - 2 yrs

Title of the talk/workshop

Scala Concurrency

Abstract of the talk/workshop

This talk is to provide session on scala as a programming language, why we need it and dive into 1 of its feature concurrency

Category of the talk/workshop

Others

Duration (including Q&A)

30min including 5min of Q/A

Level of Audience

Beginer

Speaker Bio

1. Speaker Bio (Brief) -> Divya Sanghi is a senior software engineer who is interested in Big Data and processing, cloud computing, containerization, distributed systems, design system.
2. Company/College -> Walmart Labs
3. Email -> [email protected]
4. Years of Exp ->3

Prerequisites(if any)

Title of the talk/workshop
Graphs as Matrices

Abstract of the talk/workshop
Graphs and matrices go hand in hand. In this talk, i give an overview of this Graph Matrix duality and how it can used for defining efficient graph processing algorithms.

We'll also briefly look at the GraphBLAS initiative, an ongoing community effort that includes representatives from industry, academia, and government research labs.

The GraphBLAS initiative (launched in 2013) aims to define a standard to capture graph algorithms in the language of linear algebra - following the footsteps of the BLAS standard which, starting four decades ago, revolutionised scientific computing by defining constructs on dense matrices.

Category of the talk/workshop

Duration (including Q&A)
60 minutes

Level of Audience
All

Speaker Bio
AJ Ross (CTO, Fluxon) & Praveen Kumar Telugu (Director of Engineering, Fluxon)

AJ's Bio :
AJ Ross is a pragmatic full-stack software engineering leader with a passion for solving challenging business problems. He is the CTO of Fluxon, a global product development firm with offices in the US, Canada, India and Ukraine. Prior to Fluxon, AJ spent 7 years at Google, leading engineering for Retail Operations as they entered the hardware market. He was a Founding Member of Google Customer Reliability Engineering team, spearheading the creation of a new role dedicated to ensuring reliability of customer systems on Google Cloud Platform. He also led production readiness reviews for Fortune 500 companies.

Praveen's Bio :
Praveen Telugu brings more than a decade of experience in leading engineering teams, building production quality software, and architecting distributed systems. Praveen was the founding engineer of Fluxon, and today he leads an engineering team and oversees client projects. He also serves on the board of Fluxon’s India operations. Previously, Praveen was a Software Engineer at Google, where he developed business intelligence and sales productivity tools. He brings a curious mind, motivational management style and lifelong passion for designing, coding and problem-solving to the team. In his spare time, Praveen loves reading books on History and Critical Theory and is an avid chess player.

Prerequisites - Sign up for Q&A session with the speakers at Dory

Title of the talk/workshop
Python and Netflix- What happens when you stream a film?

Abstract of the talk/workshop
The one-stop destination for every movie buff is, of course, Netflix. But what if you were watching your favorite movie and it keeps buffering every now and then? You would just shut down the application and choose another option. But, how does it manage the traffic of millions of users swiftly? Thanks, to PYTHON! Netflix use Python through the full content lifecycle, from deciding which content to fund all the way to operating the CDN that serves the final video to its users.

Outline
• This internet entertainment giant is a huge proponent of Python, using the language primarily for data analysis and back end services. It allows their software engineers to choose what language to code in, and have noticed a large upsurge in the number of Python applications.
• Quoting the Python developers at Netflix, “the language is used through the “full content lifecycle”, from security tools to its recommendation algorithms, and its proprietary content distribution network (CDN) Open Connect”.
• Ranging from Administrative domains to Reliability and Data Science to Machine Learning etc., Netflix uses Python for nearly every edge of their business.

Duration (including Q&A)
30 to 45 minutes including Q&A

Level of Audience
Everyone

Speaker Bio

1. Speaker: Kalyan Prasad- Self Taught Data Scientist. I am highly accomplished business professional with domain expert and have skilled in the areas of Machine learning and Deep learning using Python and R platforms. My work includes executing data-driven solutions to increase efficiency, accuracy, and utility of internal data processing. Experienced at creating data regression models, using predictive data modelling, and analysing data mining algorithms to deliver insights and implement action-oriented solutions to complex business problems. I love discovering data trends, seeing unique correlations, and telling the stories behind the numbers from financial data in various forms.
2. Company: Thingmax
3. Email: [email protected]
4. Years of Exp: 9.5

Prerequisites
• Familiarity with Python
• Basic understanding of Machine learning and Big data

Title of the talk/workshop

Datafication of Indian judicial texts using Natual Language Processing: An Experiment using OpenNyAI on POCSO Cases

Abstract of the talk/workshop

OpenNyAI is an open-source Python library used to perform NLP operations on Indian legal texts. Named Entity Recognition (NER) and Extractive Summarizer are two NLP models developed under OpenNyAI so far. In this experiment, I discuss the use of OpenNyAI on POCSO (Protection of Children from Sexual Offences Act) court judgements in developing structured datasets from judicial texts. I also discuss how OpenNyAI-generated datasets enrich the official metadata made available by the government, thereby helping legal researchers perform quantitative legal research. I end the talk with a few issues I found in the OpenNyAI library, how it could be deployed by the Government and other Public policy questions.

Category of the talk/workshop

Data Science, Machine Learning, and AI

Duration (including Q&A)

1 hour

Level of Audience

Intermediate

Speaker Bio

1. I'm Sai Krishna Dammalapati, a Data Engineer at CivicDataLab and a graduate of the National Institute of Technology Karnataka (NITK 2017). Ever since graduation, I've taken an immense interest to work in the intersection of technology (Data Science) and public policy. Over the last 5 years, I worked with NGOs, Universities, Governments and Startups in deploying Data Science solutions to the Public policy problems like Disaster Management, Urbanisation and Air Pollution.
2. Data Engineer at CivicDataLab / B.Tech, National Institute of Technology Karnataka.
3. [email protected]
4. Years of experience: 5

Prerequisites(if any)

NA. Just a basic understanding of Python is sufficient. My talk will be on first principles.

Motivation for Transfer Learning

Abstract: Traditionally, we train our deep learning models with lots of training data for n-epochs and wait for hours, days or even months, but still we won't be able to achieve the high accuracy or best scores for the model to be deployed in the real world applications. By understanding transfer learning techniques and the different types of Pre-trained models, their basic architectures which help in training models. And when deployed how they're going to be trained just for a few epochs can achieve high scores.

Category of the talk: Data Science, Machine Learning and AI(Deep Learning)

Duration: 30-45 minutes

Level of Audience: Intermediate

Speaker Bio:
Pattan Afrid Ahmed
M.tech in CSE with Spl. in Artificial Intelligence and Machine Learning
Vellore Institute of Technology, Chennai.
[email protected]
Student(Pursuing)

Prerequisites:
Just a google account for Colab to work with.

..

Title of the talk/workshop
How Python helped me get a job in the Indian job market without CS Degree?

Abstract of the talk/workshop
This talk aims to introduce the benefits of learning Python as a first programming language and explore the job opportunities available in the Indian job market for those without a degree. Topics covered will include the basics of Python programming, its applications in various fields, and practical tips on how to get started and improve your skills. The focus will be on showcasing how Python has opened up opportunities for many individuals in India to start a successful career in technology, regardless of their educational background.

Category of the talk/workshop
Others

Duration (including Q&A)
30 minutes

Level of Audience
Beginner

Speaker Bio
Yusharth Singh is a Developer at Yashoda Hospitals that spends his time working on Quantum Computing and Data Science.

Title of the talk/workshop
Manual Testing to Developer Relations - Skills Required to Get into DevRel

Abstract of the talk/workshop
The talk is aimed at anyone who is looking to move into the field of developer relations. In the talk, I'll share about my experience of starting my career as a manual tester, changing roles, and then moving to a developer advocacy role. I'll also explain what a day in the life of a DevRel looks like, and what type of work we do, and also share tips and skills that are required to get into the field of DevRel. Talk about the various roles that are part of the DevRel umbrella, a small JD of each of these roles, and how to find DevRel jobs.

Category of the talk/workshop
3. Culture & Society

Duration (including Q&A)
30 mins

Level of Audience
Beginner - anyone

Speaker Bio

With over 8 years of experience in the IT industry, I have worked across various roles and domains. From being a manual tester to heading the innovation lab at one of India's Fortune 500 companies, I've been there and done that. In my current role as a Developer Advocate at InfraCloud, I'm focused on improving the developer onboarding experience for our various cloud-native open-source projects. I'm also an open-source contributor to various projects and a maintainer for Paralus. From creating developer documentation, blog posts, and videos, I love helping people adopt newer technologies and help improve our products.

Prerequisites(if any)

Linux essentials for Developers

Abstract of the talk/workshop

• Why Linux?
• Where do you find it?
• What is Linux?
  • Single Unix Specification
  • Filesystem Hierarchy Standard
  • Portable Operating System Interface
  • Linux Kernel
  • Linux Standard Base
  • Linux from Scratch
• How to navigate the Flavors?
  • Distributions and DistroWatch
  • Shells
  • User Interfaces/Window Managers
• Deep Dive/Hands On w.r.t Developers

Category of the talk/workshop

Developer tools and automation

Duration (including Q&A)

3 hrs

Level of Audience

Intermediate

Speaker Bio

Praneet is currently the Director of Machine Learning at CBREX.

He is very passionate about technology and has experience building systems across the SMAC stack.
Earlier in his career, He has been involved with a number of startups and midsize companies, helping the founding teams test their luck in advertising and retail markets at scale.

He also possesses an amateur radio license under the call sign - KJ4IFQ. When he is not tinkering with code or circuits, he is out there enjoying a good long run with his friends. You can follow him on twitter @growingsmart.

Prerequisites(if any)

Virtual Box or Docker with a linux distribution. Please refer to the gitlab repo for more details.

Title of the talk/workshop

Testing purpose
Abstract of the talk/workshop

Test how github parses
Category of the talk/workshop

testing in python
Duration (including Q&A)

Level of Audience

none
Speaker Bio

nothing
Prerequisites(if any)

Title of the talk/workshop
Understand Algorithmic trading by a 15 year old data scientist working in a Algo Trading platform.

Abstract of the talk/workshop
How can we do Algo trading, more about AI and ML. Something about finance and money management.

Category of the talk/workshop
Finance and Technology (FinTech)

Duration (including Q&A)
30 minutes

Level of Audience
Intermidiate

Speaker Bio
Please do include the following things

1. Gaurav Lahoti is a Data Scientist and was a Full-Stack developer intern with more than a year of experience in development and testing activities. Experience in analyzing and manipulation of data in Python and storing the data in sqlalchemy database. Extensive experience in frontend technologies like ReactJs, HTML and CSS. Vast experience in backend development like processing of data in CSV files provided by the servers and API. Backend also includes Django development, working with URL and URL patterns. Worked as a developer for backtesting systems of Cryptocurrency and even Commodities. Also worked upon the UI of crypto-trading platform. Primarily working on garnering the data from crypto exchanges such as binance, then processing of data, cleaning of data, manipulation of data, getting insights from the data.
2. YXIOM Technologies Pvt Ltd.
3. [email protected]
4. 1+ year of experience

Prerequisites(if any)
Nothing specific

My LinkedIn -
https://www.linkedin.com/in/gaurav-lahoti-493582201

1. Talk about significant features with sample code
2. Real world examples
3. Roadmap of Pydantic

Title of the talk/workshop
Python: A Career-Shaping Programming Language

Abstract of the talk/workshop
Python is ubiquitous. If your day job is in any kind of scientific field, you might have had an encounter with Python, no matter how minuscule. For me, who is currently a mathematics Ph.D. student, Python has been a significant basis for my entire journey. This is more of a story than a talk. A story of how Python has been shaping my career trajectory since my undergraduate days, which started out with a major in Physics.

I spent my undergraduate days pursuing a major in Physics. I had no formal exposure to Python and all I understood during my first year were "classical mechanics" and "laboratory practicals". It was during the semester break that year when I accidentally bumped into a gold mine, a beautiful pedagogical introduction to Python. This talk tells the story of this unexpected encounter, and how eventually it made me fall in love with Python. This talk tells the story of how my mindset totally changed surrounding what I envisioned to be when I finished my degrees. Obviously, it wasn't easy. The journey comes with a lot of hurdles. This is a story of how a programming language inculcated in me the courage to take the road not usually taken. I think I am making Robert Frost proud!

The general issue that I plan to address through this talk is how in mainstream academia taking risks is not that simple. I somehow managed to take the leap of faith and Python has always been my anchor. I simply hope the audience can resonate with this story of mine.

The purpose of this talk is twofold:

1. To convey that it is perfectly fine to break free and pursue whatever career one is comfortable with. Python made me realize my goals.
2. To give an overview of how I, a mathematics Ph.D. student, have been using Python for several projects ever since.

Category of the talk/workshop
Career; Scientific Computation in Mathematics

Duration (including Q&A)
40 mins (30mins + 10 mins)

Level of Audience
Beginner

Speaker Bio

1. I am a Ph.D. candidate in applied mathematics from the School of Mathematical and Computational Sciences, Massey University. I work on dynamical systems and chaos. Besides my research topic, I am also interested in computational physics, optimization, data analysis, open-source software development, etc. I write codes in Python and R, and sometimes Fortran. For more, have a look at my website.
2. Institute: Massey University, Palmerston North, New Zealand
3. Email: [email protected]
4. Years of Exp: Final year doctorate; Dabbling in Python for the last 6 years

Prerequisites(if any)
NA

Note
If possible I want to deliver my presentation (remote) in March.

Title of the talk/workshop
Deep dive into the Twitter API v2 in Python using Tweepy

Abstract of the talk/workshop
In this hands on workshop, developers will learn about the new Twitter API v2 and how to build apps with it using Flask and Tweepy in Python. This session is open to all devs. Before building the Flask app with 'login with Twitter' functionality, we will spend time writing basic code to get data from the Twitter API. We will also look at examples of apps built with the Twitter API and learn how other students and researchers use the Twitter API.

Category of the talk/workshop
Web development

Duration (including Q&A)
90 minutes

Level of Audience
Beginner

Speaker Bio
Suhem Parack is a Staff Developer Advocate at Twitter and spends his time helping students, researchers and developers in their journey of using and developing with the Twitter API. Prior to joining Twitter, he was a Solutions Architect at Amazon.

Prerequisites(if any)
Please apply for access to the Twitter API v2 ahead of time, by visiting t.co/signup If you have any issues, please reach out @suhemparack

Title of the talk/workshop
Getting Started with asyncio

Abstract of the talk/workshop
By default, Python codes are run synchronously. Asynchronous programming makes great sense for I/O-bound tasks like hitting HTTP requests, etc. We can do that using threads but it is too much hassle instead if we get a good understanding asyncio we can do these tasks in a breeze.

Category of the talk/workshop
Core Python, Web development

Duration (including Q&A)
30 MINS

Level of Audience
Beginner

Speaker Bio

1. My name is Ashok. I am the founder of piptrends.com. I am a Freelance CTO/Tech Advisor and Leadership and Executive Coach. I have 16+ years of experience in the software industry. I love coding and teaching.
2. Bavanti Software Solutions
3. [email protected]
4. 16 years of experience.

Prerequisites(if any)
NA. Just a basic understanding of Python is sufficient.

Could please add a .gitignore file? It's a nice practice to ignore cache/Jupyter Notebook metadata. Also, check to clear cached ignored files data.

.ipynb_checkpoints
.pyc

Overall, thanks for sharing 👍

Title of the talk
High Availability in PostgreSQL with Performance enhancement using Python Code

Abstract of the talk
High availability refers to systems that are durable and likely to operate continuously without failure for a long time. Of late, businesses want their applications and databases to be up and running without downtime to meet their customer’s demands. They spin up new read replicas during peak seasons to serve the surge in connection traffic. Lot of means and mechanisms are now available. However, when creating new read replicas or slaves, their caches are not warmed to the optimal level when it is newly brought up. So the traffic directed to this node suffers performance degradation. This python code, fetches the content from the Read Replica no.1 or Slave no.1 and warms the second or other newly spinned up slaves.

Duration (including Q&A)
45 mins to 1 hour

Level of Audience
Intermediate/Advanced

Speaker Bio

1. Speaker Bio
   John is an Associate Consultant with AWS ProServe India, working closely with customers who are migrating from on-prem to the AWS Cloud. He is an AWS certified speaker and speaks at various meetups, breakout sessions, webinars, etc. He is an ardent member of the PostgreSQL community and works as a database administrator for PostgreSQL databases.

2. Company - AWS ProServe India LLP

3. Email - [email protected]

4. Years of Exp - 21 years

Title of the talk/workshop

A deep dive into immudb with Python

Abstract of the talk/workshop

immudb is an open-source immutable database that is fast becoming the de-facto way to store immutable data. My talk will include the following -

• A brief introduction to immutable databases
• How immutable databases differ from Blockchain
• immudb, an open-source immutable db
• immudb under the hood
• Using immudb with Python

Category of the talk/workshop

Web development (Databases)

Duration (including Q&A)

30 mins (virtual, if possible)

Level of Audience

Begineer (Basic understanding of databases)

Speaker Bio

• Software Engineer @ Github (Microsoft)
• AWS Certified Solutions Architect
• 9+ years of experience as a backend developer, mostly Python

Prerequisites(if any)

None

Title of the talk/workshop
Large Language Models 101--- The Beginning of LLMs or End of NLP?

Abstract of the talk/workshop
LLM's are evolving much faster than we stated understand them. It become very much confusion where to start learning and implementation of LLM's. Also there's a wide of knowledge in learner's about NLP, LLM's in detail. Feq questions will try to make answerable with the talk, How LLm's Advancement helping NLP,
, how NLP Increasingly focused on external, solving real world problems.

Category of the talk/workshop
NLP & LLM's

Duration (including Q&A)
(30 mins)

Level of Audience
Beginner/Intermediate/

Speaker Bio
Name : MOHAMMAD YAHIYA

With over 5 years of dedicated expertise in the dynamic field of data engineering, Yahiya stands at the forefront of innovation, seamlessly integrating technology to solve real-world challenges. As a passionate contributor to the AI community, he have actively engaged with platforms like Coursera, deeplearning.ai, Workera, Omdena, and Fruitpunch.ai.

Technical and Community Builder:

Yahiya's journey is marked by a robust technical foundation, honed through hands-on experience and continuous learning. He have been an integral part of various AI communities, fostering collaboration and knowledge exchange. This commitment to community is reflected in his association with esteemed organizations like Omdena, where he have curated more than 20 impactful projects in the last 3 years.

Projects Shaping Human Development:

A visionary in leveraging AI for human betterment, Yahiya has curated projects that resonate with societal needs. From pioneering habit-building initiatives to developing soft skills recommendation engines, his work extends to critical domains such as AI for road safety and mock interview preparation. Each project serves as a testament to his commitment to driving positive change through technology.

Founder of OptimumAI Labs

Elevating his commitment to innovation, Yahiya has recently embarked on a new chapter as the founder of OptimumAI Labs. This AI-based startup is his brainchild, dedicated to pushing the boundaries of what's possible in the realm of artificial intelligence.

Key Achievements:

• Over 5 years of hands-on experience in data engineering.
• Active participant and contributor to AI communities on Coursera, deeplearning.ai, Workera, Omdena, and Fruitpunch.ai.
• Curated more than 20 impactful projects in the last 3 years, with a focus on human development.
• Founder of OptimumAI Labs, a startup at the forefront of AI innovation.

Recent Engagements:

• Mock Interview prep Chatbot using LLM's where 500+ collaborators registered and build the project in 6 weeks.
  Connect with me :
• https://www.linkedin.com/in/shaik-muhammad-yahiya/
• https://github.com/muhammadyahiya

Feel free to customize it further based on your needs and additional details.
2. Company/College- Accion Labs
3. Email- [email protected]
4. Years of Exp -5 years
 -->

Prerequisites(if any)

PyLadies Talk

TITLE : CNN with NumPy and the Math behind

ABSTRACT : CNNs or ConvNets, are the workhorse of the deep neural network field.
Neural networks are a set of algorithms, modeled loosely after the human brain, that are designed to recognize patterns. To an outsider, a neural network may appear to be a magical black box capable of human-level cognition.
To understand how neural networks make predictions, you must understand the methodology, structure, and mathematics behind each architecture -- the foundations of which are just linear algebra and calculus.
We will revise the concepts of CNN. Go through a simple of example of Image classification with CIFAR-10.
And then deep dive into the mathematical concepts.

DURATION (including Q&A) : 45 mins

LEVEL OF AUDIENCE : Begineer/Internediate/Advance

SPEAKER : Rajashri is a Data Science professional with around 15 years of industry experience. She is currently working with ValueLabs, Hyderabad as a Sr Architect - BigData & Analytics. She is an unique & rare professional with experience of AI/ML, BigData, NoSQL, IoT and Network Programming. She has designed large, scalable and sustainable solutions for various business domains and industries. She has lead teams spanning across the globe with different technology stack. Has worked more with product-based companies which enables her to visualize, plan and distribute end-to-end product life cycle.
Rajashri loves to travel various places; read books on science and technology; a continuous learner with a child like enthusiasm.

Company/College : ValueLabs, Hyderabad
Years of Exp : 15 years
 
PREREQUISITES :

Knowledge in Math(Linear algebra, calculus)
Knowledge in Machine Learning. May be CNN with ScikitLearn or TensorFlow
Python3 (knowledge in NumPy.)
Google Colab(Notebook will be shared with the audience after the event)

Title of the talk/workshop

Building reliable and portable microservices with Dapr and Python.

Abstract of the talk/workshop

Microservice applications are inherently distributed, but building distributed applications is hard and can introduce a whole new set of challenges to the developers. Dapr (Distributed Application Runtime) provides a runtime and a collection of building blocks to build reliable and portable microservices while embracing the diversity of languages and developer frameworks. It's also platform agnostic, which means apps can be deployed to any cloud or on-premise environment.

In this talk, we will look at Dapr and its various building blocks, and learn how to start building microservices on Dapr using its Python SDK.

Category of the talk/workshop

Web development

Duration (including Q&A)

30 mins (25+5)

Level of Audience

All

Speaker Bio

I am a software engineer at Microsoft Developer Division, and I am currently working on Dapr at my job. Before Dapr, I was building Authentication for Microsoft Dataverse. I am a VIT Chennai alumnus, class of 2020, and have been professionally writing software for about two years.

You can reach out to me at [email protected] or shubham1172 on Twitter/LinkedIn.

Prerequisites(if any)

NA

Idea for this talk to present how new age AI is going to impact workflows, customer interactions , business strategies.
The LLMs innovation is not just hype at the this needs to be plugged at the right right place with right tuning.

Content highlights:

• background
• Whats current situation [current Business & new AI innovation ]
• How & where AI can be plugged
• Why Python is winning the game
• some demo with liv example
• Conclude , Q&A

Title of the talk/workshop
style transfer on mobile using TensorFlow lite

Abstract of the talk/workshop
We all want to be artists in our life but due to some constraints, we are not. But still, we can do that using neural style transfer. we can Style any images with your favourite styles is what we are going to learn and do. In this workshop, we will be mostly focusing on deploying this model on android using TensorFlow lite.

Outline

• we will be learning at least 3 different types of models.
• And at the end, we will be deploying this model on android.

Learning Outcomes:

• Getting familiar with Neural style transfer
• Getting familiar with concepts like model creation, model deployment and TensorFlow lite

Duration (including Q&A)
1 hour

Level of Audience
Intermediate

Speaker Bio

1. II love to give back to the community, with that I started to do blogging about Machine learning on Instagram which has around 165K followers. I'm working as a Machine learning engineer at DHAN AI as a full time and also as a research associate for MUST research academy as part-time.
2. Company - Dhan AI
3. Email - [email protected]
4. Years of Exp - 2 year
5. More about me - udaykiran.dev

Prerequisites(if any)

• Basic understanding of machine learning, Deep learning and model building
• Familiarity with Python

Talk for PyLadies Hyderbad meetup

TITLE : Automatic labeling of image based data

ABSTRACT: The main aim is to provide a knowledge on data pre-processing methods and provide hands on for a real time project on image based data.

1. Automatically labelling of smoking and drinking scenes

This is on data which is available from youtube. This is used for recognising the smoking and drinking scenes in films and automatically label to those frames the tag of "Smoking and drinking is injurious to health" which will be demonstrated in MATLAB.

2. ASTRA Demonstration

It automatically detects weed in agricultural land and predicts the weed is present or not for a crop growth.

This talk covers analysis of problem statement and data preprocessing and to demonstrate the real time based project in Python

AGENDA : Python package libraries, Deep learning introduction, Data Preprocessing, Feature Extraction and Prediction

DURATION : 1 hr

LEVEL OF AUDIENCE : All

PRE-REQUISITES :

• Some basic knowledge on machine learning.
• Familiarity with Python.
• Jupyter notebook installed on your machine

SPEAKER : Susmitha S
I am a Data Science Enthusiast, I have been skilled in Deep learning and Machine learning concepts using Matlab and Python Platform. My Internship was carried on two research projects based on Machine learning under the guidance of Gurunath Reddy M, Google PhD research fellow and under professor Krothapalli Srinivasan carried out two projects in Indian Institute of Technology, Kharagpur, West Bengal . I have organised workshops on ROBOTICS and also have done many Robots the most recognised is ASTRA. I have 2 journal publications and 1 conference papers in IEEE.

[1] https://ieeexplore.ieee.org/document/8698094
[2] Journal: Biomedical Signal Processing and Control
Title: Classification Based Glottal Closure Instants Detection from Electroglottograph Signal by Deep Convolutional Neural Networks

Title of the talk/workshop
Improving Deep Neural Networks.

Abstract of the talk/workshop
This talk is about getting deep learning to work well. Rather than the deep learning process being a black box, it will help us understand what drives performance, and be able to more systematically get good results. It will also cover the basics of TensorFlow.

Category of the talk/workshop
Data Science, Machine Learning, and AI

Duration (including Q&A)
30 Mins

Level of Audience
Beginner

Speaker Bio

1. Speaker Bio (Brief) Raju Layak, Currently working as Software Developer at Verizon.
2. Company Verizon
3. Email [email protected]
4. Years of Exp 4.5

Prerequisites(if any)
No requirements.

Title of the talk/workshop
Breaking the Black-box

Abstract of the talk/workshop
With the more complex algorithms like deep neural networks, random forest with 1000s of trees or dense machine learning models we are achieving the desired accuracy with a sacrifice of interpretability. If we are more interested in interpretability, we are sacrificing accuracy. In domains like finance or banking both are needed in justifying a prediction which helps the client and customers to understand why it predicted in that way. so how do we build interpretable machine learning models or explainable artificial intelligence? In this workshop, I will be explaining why it is important to build Interpretables models and how to draw insights from it and how to trust your model and make human to understand them, with the help of available methods.

Outline

• Importance of interpretable machine learning: Understanding Machine Learning Model Interpretation, Importance of Machine Learning Model Interpretation, Criteria for Model Interpretation Methods, Scope of Model Interpretation
• Model interpretation techniques: Accuracy vs. Interpretability trade-off, Model Interpretation Techniques
• Hands-on: We will be using the latest state-of-the-art model interpretation frameworks like ELI5, Skater, Lime and SHAP

Learning Outcomes:

• Getting familiar with frameworks like ELI5, LIME and SHAP
• Getting familiar with concepts like feature importance, partial dependence plots, interpretability and explanation

Duration (including Q&A)
1 hour

Level of Audience
Begineer/Intermediate

Speaker Bio

1. I love to give back to the community, with that I started to do blogging about Machine learning on Instagram which has around 80K followers. I'm working as an ML intern in synopsys as a full time and also as a research associate for MUST research academy as part-time.
2. Company - Synopsys
3. Email - [email protected]
4. Years of Exp - 1 year

Prerequisites(if any)

• Basic understanding of machine learning and model building
• Familiarity with Python