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: 👨‍💻 About Me :

Hi there 👋

I am a seasoned Data Scientist from India. Founder of TowardsMachineLearning.Org

  • 🧑‍🔬 My most recent research projects: Patents and Publications
  • 🔭 I’m currently working on: LLM Projects
  • 🌱 I’m currently trying to deepen my expertise in : MLOps Projects 🔥 Recently started my Leetcode Journey: My Leetcode Profile
  • 💬 Ask me about : Data Science, Machine Learning, NLP, Deep Learning, Computer Vision, LLMs, MLOps
  • 📫 How to reach me: Linkedin Badge
  • ⚡ Fun fact: 'Why did the data scientist break up with the statistician? Because they couldn't find a common mean!' 😄"

🛠️: Languages and Tools :

anaconda  python  R  rstudio  visualstudio  vscode  numpy  opencv  pandas  tensorflow  pytorch  selenium  sqlalchemy  MySQL  neo4j  Git  gitlab  putty  pytest  linux  ubuntu  azure  AWS  docker  kaggle 

🔥: My Leetcode and GitHub Stats :

Leetcode Stats:

Leetcode Stats

GitHub Stats:

GitHub Streak

GitHub Streak

Top Langs


✍️: Blog Posts :

Posts on Analytics Vidhya(3M+ community):

Posts on TowardsMachineLearning.Org:

Posts on Medium:

Posts on YouTube:

Measuring the accuracy of the detection algorithm using IOU
Sep 19, 2021
You Only Look Once Algorithm and it's history
Sep 19, 2021
Need of region proportion methods
Sep 19, 2021
Dataset, bounding box regressor, image pyramid
Sep 19, 2021
What we actually need for detection?
Sep 19, 2021

Praveen Kumar Anwla's Projects

acousticextinguisherfire icon acousticextinguisherfire

AcousticExtinguisherFire employs machine learning to predict fire status based on acoustic signals. With features like SIZE, FUEL, DISTANCE, DESIBEL, AIRFLOW, and FREQUENCY, this binary classification project enhances fire safety measures.

anova-test-covid-19 icon anova-test-covid-19

In this repository, discover the intricacies of the ANOVA test and its various types, essential for informed decision-making. Dive into practical demonstrations of each ANOVA test using Python, with a focus on visualizing their application on COVID-19 data. Let's embark on a journey to explore and understand statistical analysis in Python!!

bike-sharing-algorithm icon bike-sharing-algorithm

"Bike-Sharing-Algorithm" optimizes bike-sharing systems through advanced algorithms. This project employs data-driven approaches to enhance bike distribution, availability, and user experience.

build-retrieval-augmented-generation-pipelines icon build-retrieval-augmented-generation-pipelines

Explore the evaluation of Retrieval Augmented Generation (RAG) pipelines using the RAGAS framework, leveraging OpenAI's Wiki page. This project provides a comprehensive solution to assess and build effective pipelines for enhanced information retrieval and generation.

building-chatbot-using-nodejs icon building-chatbot-using-nodejs

Empower your communication with a WhatsApp chatbot built using Node.js. This repository guides you through integrating Google DialogFlow, Twilio, and WhatsApp for Business to create an efficient conversational interface. Elevate your user engagement and streamline interactions with this comprehensive chatbot solution.

computer-science-mini-projects icon computer-science-mini-projects

Welcome to the Computer Science Mini Projects repository! This repository serves as a central hub for various mini-projects related to different domains in computer science. Each project is housed in its own GitHub repository, and you can find the links to these projects below.

computer-vision-interview-preparation icon computer-vision-interview-preparation

Explore the Computer Vision Interview Prep repository! This GitHub collection offers interview questions and answers for Data Scientists. Elevate your knowledge of computer vision, confidently tackle technical interviews, and succeed in the dynamic field of data science with a focus on computer vision applications.

conversation-ai-system-using-llms-on-e-commerce-data icon conversation-ai-system-using-llms-on-e-commerce-data

Explore the Conversation AI System using LLMs on E-commerce Data repository! This GitHub project showcases a solution for building a Conversational AI system tailored for E-commerce. Dive into the code, discover innovative approaches, and enhance your understanding of creating effective AI-driven conversations in the E-commerce domain.

customize-word-embeddings-for-llms icon customize-word-embeddings-for-llms

We'll use NQ (Natural Questions) dataset from the Google. We'll find weak negatives, and hard negatives first. Then we'll calculate word embeddings using OpenAI's text-embedding-ada-002 word embedding model to compare the accuracy and performance with customized word embeddings.

data-science-case-studies icon data-science-case-studies

Unlock success in Data Science interviews with the Data Science Case Studies repository. Dive into a curated collection of case studies, each equipped with interview questions and detailed answers, tailored for Data Scientist preparation. Enhance your problem-solving skills and gain practical insights to ace your interviews.

data-science-interview-preparation-guide icon data-science-interview-preparation-guide

Explore the Data Science Interview Prep Guide repository – your curated collection of GitHub links with interview questions and answers for data scientists. Elevate your preparation, access valuable content, and excel in technical interviews within the dynamic field of data science!!

data-science-mini-projects icon data-science-mini-projects

Discover a curated set of Data Science Mini-Projects in this repository. Explore links to individual GitHub repos, each hosting a unique project. From data analysis to machine learning, these hands-on projects offer valuable insights. Enhance your Data Science skills through practical examples in a variety of domains.

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