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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
Recipes for using Python's pandas library
Python code for "Probabilistic Machine learning" book by Kevin Murphy
The Udacity open source self-driving car project
『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.
Bayesian Analysis with Python (Second Edition)
Introduction to Mathematical Computing with Python and Jupyter
Notebooks and examples on how to onboard and use various features of Amazon Forecast.
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
Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more
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
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