In this repository I implemented all assignments in python. (No octave to python library)
- All optional exercises have been done
- All computations done in vectorized form
- 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
Coursera Machine Learning course by Andrew Ng.