🦜🔗 Build context-aware reasoning applications

Python Data Science Handbook: full text in Jupyter Notebooks

Learn how to design, develop, deploy and iterate on production-grade ML applications.

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.

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Examples and guides for using the Gemini API

The "Python Machine Learning (2nd edition)" book code repository and info resource

Notebooks for learning deep learning

The "Python Machine Learning (3rd edition)" book code repository

¡Camino a una educación autodidacta en Ciencia de Datos!

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

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋