# Stanford-Machine-Learning-Course

**Repository Path**: zhao_yihang/Stanford-Machine-Learning-Course

## Basic Information

- **Project Name**: Stanford-Machine-Learning-Course
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-09-20
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

These are some programming exercise of Stanford Machine Learning Online Course.
The algorithms were coded in python or matlab including:
1.Anomaly Detection and Recommender Systems
2.Decision Trees&Boosting 
3.HMM
4.K-Means Clustering and PCA
5.Linear Regression
6.Logistic Regression (matlab/octave)
7.Multi-class classification and neural networks
8.Neural network learning
9.Regularized linear regression and bias-variance
10.Support Vector Machiness