ML Projects

This repo demonstrates end-to-end machine learning projects, following the exercises and recommendations from Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow book. The projects are organized following the book's structure and cover:

• Cap2: California Housing Prices analysis, using both descriptive and predictive methods such as EDA, regression and others.

• Cap3: Classification modeling using the MNIST dataset and algorithms like SGD, k-NN, SVM and Random Forests.

• In progress...