Hands-On Machine Learning with Scikit-Learn and TensorFlow

This repositort contains solutions to Aurélien Géron's book on machine learning Hands-On Machine Learning with Scikit-Learn and TensorFlow 2nd Edition. All solutions are constructed using Jupyter Notebooks.

Chapter 1 - The Machine Learning Landscape
Chapter 2 - End-to-End Machine Learning Project
Chapter 3 - Classification
Chapter 4 - Training Models
Chapter 5 - Support Vector Machines
Chapter 6 - Decision Trees
Chapter 7 - Ensemble Learning and Random Forests
Chapter 8 - Dimensionality Reduction
Chapter 9 - Unsupervised Learning Techniques
Chapter 10 - Intro to Atrificial Neural Networks with Keras
Chapter 11 - Training Deep Neural Networks
Chapter 12 - Custom Models and Training with Tensorflow