jackieyyuan

ml-interviews-book

https://huyenchip.com/ml-interviews-book/

covid19-datasets

stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

CausalImpact

An R package for causal inference in time series

notes-on-causal-inference

Some notes on Causal Inference, with examples in python

causalml

Uplift modeling and causal inference with machine learning algorithms

deploying-machine-learning-models

Code for the online course "Deployment of Machine Learning Models"

building-machine-learning-pipelines

Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson

Causalinference

Causal Inference in Python

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

causality

Tools for causal analysis

lme4

Mixed-effects models in R using S4 classes and methods with RcppEigen

anomalous-acm

Anomalous time series package for R (ACM)

grf

Generalized Random Forests

causalTree

Working repository for Causal Tree and extensions

mlr

Machine Learning in R

openml-r

R package to interface with OpenML

probability_cheatsheet

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

shap

A game theoretic approach to explain the output of any machine learning model.

Paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

datascience-fails

Collection of articles listing reasons why data science projects fail.

coding-exercises

My implementation of useful data structures, algorithms, as well as my solutions to programming puzzles.

python-is-cool

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

deep-learning-deliberate-practice

Deliberate Practice for Learning Deep Learning

awesome-cheatsheets

👩‍💻👨‍💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

poc-docker-template

Simple template showing how to set up docker for reproducible data science with Jupyter notebooks.

notebooks

jupyter notebooks for course and book

project-directory

Setting up a new project directory in the terminal or R