unpingco/Python-for-Probability-Statistics-and-Machine-Learning

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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

The overall objective of this toolkit is to provide and offer a free collection of data analysis and machine learning that is specifically suited for doing data science. Its purpose is to get you started in a matter of minutes. You can run this collections either in Jupyter notebook or python alone.

Notebooks related to Bayesian methods for machine learning

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

Machine learning notebooks in different subjects optimized to run in google collaboratory

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

Notebooks and code for the book “Introduction to Machine Learning with Python”

Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft