superlearner-guide

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

《统计学习方法》笔记-基于Python算法实现

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

scikit-learn cross validators for iterative stratification of multilabel data

A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.

Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"