krish3124 Goto Github PK
Type: User
Type: User
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
This is the course project for Big data technologies. Analyzing streaming facebook posts data.
leverage ML algorithms and s3, MongoDB, spark, AWS to predict Bay Area bike share daily demand
The project groups scrapped News headlines using NLTK, K-Means clustering and Hierarchical clustering using Ward Method.
The Data Engineering Cookbook
HW solutions to Inferential Statistics course on Coursera taught by professors at Duke University
Statistics with R Specialization by Duke University on Coursera.
Software Developer Portfolio Template that help you showcase your work and skills as a software developer ⚡️
Designed interactive visualization and provided analysis for Lending Club Loan data.
MSAN692 Data Acquisition
Jupyter Notebook from Selenium Tutorial: Scraping Glassdoor.com"
CloudFormation templates and scripts to setup the AWS services for the workshop, Athena & Redshift Spectrum queries
Solutions for projects.
Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to know data in a much better way and explains the behavior of the data based upon certain factors. It has many Elements which help us to understand the data better that includes Probability, Distributions, Descriptive Analysis, Inferential Analysis, Comparative Analysis, Chi-Square Test, T Test, Z test, AB Testing etc.
Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.