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.

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Companion webpage to the book "Mathematics For Machine Learning"

Best Practices, code samples, and documentation for Computer Vision.

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

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

Preparing for machine learning interviews