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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
A game theoretic approach to explain the output of any machine learning model.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
An open-source, low-code machine learning library in Python
Automatic extraction of relevant features from time series:
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…
A scikit-learn compatible neural network library that wraps PyTorch
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Book about interpretable machine learning
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
A python library for decision tree visualization and model interpretation.
functorch is JAX-like composable function transforms for PyTorch.
AWS Retail Demo Store is a sample retail web application and workshop platform demonstrating how AWS infrastructure and services can be used to build compelling customer experiences for eCommerce, …
A delightful and complete interface to GitHub's amazing API
Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more
Problem sets from practiceprobs.com