This repository includes the exercises I have done in the Machine Learning course taught by Andrew Ng in Coursera.
- Linear Regression
- Logistic Regression
- Multi-class Classification and Neural Networks
- Neural Networks Learning
- Regularized Linear Regression and Bias v.s. Variance
- Support Vector Machines
- K-means Clustering and Principal Component Analysis
- Anomaly Detection and Recommender Systems
- Introduction to Statistic Learning
- The Elements of Statistic Learning
- Python Machine Learning
- I think prof. Ng's exercises are really helpful for new machine learning people, and I also recommend you not only finish the course work, but also look at the whole codes prof. Ng provides.
- Think why simple algorithm can work very well in big data
Via email: zhongchen43 at gmail dot com