Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow [Notes in Portuguese]

Repository containing notes in Portuguese that occurred while reading the book. The notebooks are based on materials provided by the publisher.

The book was divided into two parts. The first part has the fundamentals of machine learning. This part has the following chapters:

1. The Machine Learning Landscape
2. End-to-End Machine Learning Project
3. Classification
4. Training Models
5. Support Vector Machines
6. Decision Trees
7. Ensemble Learning and Random Forests
8. Dimensionality Reduction
9. Unsupervised Learning Techniques

The second part presents the concepts related to neural networks and deep learning. This part has the following chapters:

10. Introduction to Artificial Neural Networks with Keras
11. Training Deep Neural Networks
12. Custom Models and Training with TensorFlow
13. Loading and Preprocessing Data with TensorFlow
14. Deep Computer Vision Using Convolutional Neural Networks