This repository contains all programming assignments solutions for the Stanford Machine-Learning course on Coursera taught by the legendary prof. Andrew Ng.
- Linear Regression
- Logistic Regression
- Multi-Class Classification and Neural Network
- Neural Networks Learning
- Regularized Linear Regression and Bias/Variance
- Support Vector Machines
- K-Means Clustering and PCA
- Anomaly Detection and Recommender Systems
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.
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.