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.

Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)

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

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

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

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

:fire: Machine Learning Notebooks

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

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

Notebooks about Bayesian methods for machine learning

Exercise notebooks for Machine Learning modules on Microsoft Learn

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

A python library and collection of notebooks for making art with machine learning.

A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, PyTorch, and Hugging Face libraries.

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)

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A machine learning course using Python, Jupyter Notebooks, and OpenML

Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

A curated list of applied machine learning and data science notebooks and libraries across different industries.

Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

Código Python, Jupyter Notebooks, archivos csv con ejemplos para los ejercicios del Blog aprendemachinelearning.com y del libro Aprende Machine Learning en Español

Machine Learning notebooks for refreshing concepts.

An interactive HTML pretty-printer for machine learning research in IPython notebooks.

A set of jupyter notebooks for the practice of TDA with the python Gudhi library together with popular machine learning and data sciences libraries.

Collection of notebooks and scripts related to audio processing and machine learning.