Exercises for the Stanford Machine Learning course from Coursera
These are the programming assignments from Coursera's Machine Learning course taught by Andrew Ng.
- Linear Regression, Gradient Descent
- Logistic Regression
- Multi-class Classification, Neural Networks
- Neural Networks Learning
- Regularized Linear Regression and Bias vs Variance, Polynomial Regression
- Support Vector Machines, Classifiers
- K-means Clustering and Principal Component Analysis
- Anomaly Detection and Recommender Systems