[NO LONGER DEVELOPED] Coursera Machine Learning by Andrew Ng
In this repository I implemented few assignments in python. (No octave to python library)
Acknowledgement
I started learning python by learning machine learning at the same time and I may have a lot of inefficient/ugly/... codes here. There are lots of good repos out there for this coarse, please use them.
Features
- All optional exercises have been done
- All computations done in vectorized form
Schedule
- Week 2 - Linear Regression
- Linear Regression With One Variable
- Linear Regression With Multiple Variable
- Week 3 - Logistic Regression
- Logistic Regression
- Regularized Logistic Regression
- Week 4 - Multi-Class Classification and Neural Networks
- Multi-class Classification
- Neural Networks
- Trying Different Parameters
- Week 5 - Neural Networks Learning
- Neural Networks
- Backpropagation #3
- Trying Different Parameters
- Week 6 - Regularized Linear Regression and Bias v.s. Variance
- Regularized Linear Regression
- Bias-Variance
- Polynomial Regression
Reference
Coursera Machine Learning course by Andrew Ng.