Coursera-Machine-Learning

My projects from the Stanford Machine Learning course offered on Coursera by Professor Andrew Ng.

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
1 - Linear Regression		1 - Linear Regression
2 - Logistic Regression		2 - Logistic Regression
3 - Multi-class Classification and Neural Networks		3 - Multi-class Classification and Neural Networks
4 - Neural Networks Learning		4 - Neural Networks Learning
5 - Regularized Linear Regression and Bias vs Variance		5 - Regularized Linear Regression and Bias vs Variance
6 - Support Vector Machines		6 - Support Vector Machines
7 - K-means Clustering and Principal Component Analysis		7 - K-means Clustering and Principal Component Analysis
8 - Anomoly Detection and Recommender Systems		8 - Anomoly Detection and Recommender Systems
README.md		README.md

Provide feedback