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A game theoretic approach to explain the output of any machine learning model.
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L
Seminars DeepBayes Summer School 2018
This is a tutorial to connect the fundamental mathematics to a practical implementation addressing the continual learning problem of artificial intelligence
A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.
Neural Networks and Fuzzy Logic - BITS Goa
Repo contains Jupyter notebooks compiled during my review of the programming books listed.