GitHub - ageron/handson-ml2: 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.

Data-Analysis-and-Machine-Learning-Projects/Example Machine Learning Notebook.ipynb at master · rhiever/Data-Analysis-and-Machine-Learning-Projects

Repository of teaching materials code and data for my data analysis and machine learning projects data analysis and machine learning projects example machine learning notebook ipynb at master

Courses by cloud vendors. These are usually high quality content but steer you heavily to use vendor-specific tools/services. I encourage you to "make the most" of the resources that they make freely available. To avoid getting locked into vendor specifics, just make sure you're learning from other resources as

Machine Learning Crash Course | Google Developers

Machine Learning (ML) - Digital and Classroom Training | AWS

Build your machine learning skills with digital training courses classroom training and certification for specialized machine learning roles learn more

Machine Learning for Developers by Mike de Waard

GitHub - rasbt/python-machine-learning-book-3rd-edition: The “Python Machine Learning (3rd edition)” book code repository

The quot python machine learning 3rd edition quot book code repository git hub rasbt python machine learning book 3rd edition the quot python machine learning 3rd edition quot book code

GitHub - ZuzooVn/machine-learning-for-software-engineers: A complete daily plan for studying to become a machine learning engineer.

A complete daily plan for studying to become a machine learning engineer git hub zuzoo vn machine learning for software engineers a complete daily plan for studying to become a machine learning