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bradleyboehmke
455 Stars 101 Forks 99 Commits 1 Opened issues

Description

A collection of data science and machine learning resources that I've found helpful (I only post what I've read!)

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Data Science Learning Resources


Programming

General

Python

R

Spark

Command Line

Containers

Functional Programming

Version Control

Code Packaging

Style Guide, Readability, Best Practices

Testing

Machine Learning

General

Unsupervised Modeling

A/B Testing

Multivariate Adaptive Regression Splines

K-Nearest Neighbor

Random Forests

Gradient Boosting Machines

Deep Learning

Ensembles / Model Stacking / Super Learners

Natural Language Processing / Text Mining

Tuning

Feature Engineering

Feature Selection

Machine Learning Interpretability

Auto ML

Benchmarking

Resampling Procedures

Productionalization

Leadership & Strategy

Management & Leadership

Product

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