Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

A curated list of Machine Learning and Deep Learning tutorials in Jupyter Notebook format ready to run in Google Colaboratory

This depot contain tutorials for real beginners who want to understand machine learning by reading some code.

A collection of Jupyter notebooks showing how to use Qiskit that is synced with the IBM Q Experience

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Python tutorials in both Jupyter Notebook and youtube format.

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

This tutorial's purpose is to introduce people to the 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE and how to explore it using some foundational packages in the Scientific Python Data Science stack.

Tutorials and training material for the H2O Machine Learning Platform