Python Data Science Handbook: full text in Jupyter Notebooks

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Companion webpage to the book "Mathematics For Machine Learning"

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Code samples used on cloud.google.com

The "Python Machine Learning (2nd edition)" book code repository and info resource

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Recipes for using Python's pandas library

『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

Simple but useful Python web scraping tutorial code.

Object Detection

Bayesian Analysis with Python (Second Edition)

Introduction to Mathematical Computing with Python and Jupyter

Scikit-learn tutorial at SciPy2016

Pythonで学ぶ強化学習 -入門から実践まで- サンプルコード

書籍「つくりながら学ぶ！深層強化学習」のサポートリポジトリです

Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller

Hands-On Recommendation Systems with Python published by Packt

PyTorch for Deep Learning and Computer Vision Course

Notebooks for https://python.quantecon.org

Bayesian Analysis with Python by Packt

PyData Cookbook Project

Detect dents and scratches in cars. Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow.

Implementing YOLO using ResNet as the feature extraction network

書籍「最短コースでわかる ディープラーニングの数学」用サポートサイト

書籍「Pythonで儲かるAIをつくる」サポートサイト