lukas/ml-class
A set of hands-on tutorials teaching ML and deep learning through Jupyter notebooks covering image classifiers, CNNs, autoencoders, and text classification.

The repository contains a sequence of machine learning tutorials starting from basic image classification on Fashion-MNIST, progressing through multilayer perceptrons, convolutional neural networks, and autoencoders, up to text classification with scikit-learn. Each project includes starter code and an associated ~10 minute video. The material assumes no ML background but expects Python proficiency, with content ordered from beginner to advanced.