Intro2NeuralNet-ML

This reporsitory contains coding excercises following the 2nd edition of Machine Learning Refined (published by Cambridge University Press).

Topics covered include:

1. Optimization, Coordinate descent
2. Momentum accelerated and Normalized Gradient Descent, Hessians and Linear Regression
3. Two-Class and Multi-Class Classification
4. PCA, Autoencoders, K-Means Clustering and fcNN
5. Convolution Networks, Non-Linear Regression, Model Tuning and Tree Regression