- Exercise 1: Linear Regression
- Exercise 2: Logistic Regression
- Exercise 3: Multi-class Classification and Neural Networks
- Exercise 4: Neural Network Learning
- Exercise 5: Regularized Linear Regression and Bias/Variance
- Exercise 6: Support Vector Machines
- Exercise 7: K-Means Clustering and PCA
- Exercise 8: Anomaly Detection and Recommender Systems
This repository was archived by the owner on Aug 4, 2020. It is now read-only.
-
Notifications
You must be signed in to change notification settings - Fork 3
syaning/stanford-machine-learning
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Exercises of Stanford Machine Learning class. In Matlab and Python.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published