shanky3011,github

aif360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

awesome-interpretable-machine-learning

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

coding-the-matrix

The Coursera course Coding the Matrix: Linear Algebra through Computer Science Applications by Philip Klein

cs-7641---machine-learning

Repo for assignments for Georgia Tech's CS 7641 course

cs-7641-machine-learning

GATech OMSCS Machine Learning Course -- notes and assignments

cs4641

Machine Learning stuff from CS 4641 at Georgia Tech

This repository is my attempt at solving Raven's Intelligence tests using python. This work is for CS 7637: Knowledge-Based Artificial Intelligence: Cognitive Systems from Georgia Institute of Technology.

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

diabetes_use_case

Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/

educate-resource-for-machine-learning

This ebook from Jason Brownlee. Educational perpose only! Thanks to Jason for the books.

erum_2018

Materials for H2O workshop at eRum 2018 (http://2018.erum.io/)

machine-learning-algorithms-from-scratch

A collection of commonly used machine learning algorithms implemented in Python/Numpy

math-of-machine-learning-course-by-siraj

Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

ml

Machine learning algorithms from scratch

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.