rajeshraavipaati Goto Github PK
Name: Rajesh Babu Raavipaati
Type: User
Bio: Masters in Data science at Arizona university
Location: Arizona
Name: Rajesh Babu Raavipaati
Type: User
Bio: Masters in Data science at Arizona university
Location: Arizona
30 days of Python programming challenge is a step by step guide to learn Python programming language in 30 days.
500 AI Machine learning Deep learning Computer vision NLP Projects with code
:memo: An awesome Data Science repository to learn and apply for real world problems.
This repository contains coding interviews that I have encountered in company interviews
This repository contains the files and resources from my Daily Knowledge hunt
This is a repo with links to everything you'd ever want to learn about data engineering
Carefully curated resource links for data science in one place
Data Science Tutorials
Toturial coming with "data science roadmap" graphe.
Data Visualization with Python
Open Source Data Science Resources.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
My personal notes, presentations, and notebooks on everything Deep Learning.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
A mindmap summarising Deep Learning concepts.
End-to-End Object Detection with Transformers
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
List of Data Science Cheatsheets to rule the world
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Katacoda Scenarios
📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
Jupyter notebooks for teaching/learning Python 3
Classical equations and diagrams in machine learning
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
Study guides for MIT's 15.003 Data Science Tools
WIP: Roadmap to becoming a machine learning engineer in 2020
ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
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.