Stanford Machine Learning

This repository contains all programming assignments solutions for the Stanford Machine-Learning course on Coursera taught by the legendary prof. Andrew Ng.

Contents

1. Linear Regression
2. Logistic Regression
3. Multi-Class Classification and Neural Network
4. Neural Networks Learning
5. Regularized Linear Regression and Bias/Variance
6. Support Vector Machines
7. K-Means Clustering and PCA
8. Anomaly Detection and Recommender Systems

Certificate of Completion

You can see the Certificate of Completion and other certificates in my Certificates Repo that contains all my certificates obtained through my journey as a self-made Data Science and better developer.

⚠️ Disclaimer ⚠️

Please, don't fork or copy this repository.

The Machine Learning course offered by Stanford, is a intermediate level course. Data Science is one of the hardest subfield of Computer Science and requires a lot of study and hard work.