Bhavin's Projects
Answers to 120 commonly asked data science interview questions.
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
Reinforcement learning resources curated
How to do Bayesian statistical modelling using numpy and PyMC3
I will be sharing my projects here.
Config files for my GitHub profile.
Books for Data Science
Here you will find materials for the course of Computational Finance
Solutions to problems sent by dailycodingproblem.com
Cheat Sheets
code for Data Science From Scratch book
Data science interview questions and answers
My CS231n lecture notes
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
DIGImend graphics tablet drivers for the Linux kernel
šāØ Help beginners to contribute to open source projects
Flower: A Friendly Federated Learning Framework
Forecasting lectures and tutorials using Python
Code companion to the O'Reilly "Fundamentals of Deep Learning" book
Learning GSheets
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.