My solutions to the machine learning course by Andrew Ng on coursera.
The focus is on making the code as vectorized as possible. However I was not able to achieve it completely.In some cases having a vectorized code may have led to more complications but I trust it to run faster. Better solutions are welcome.
- Ex1 - Linear Regression
- Ex2 - Logistic Regression
- Ex3 - Multi Class Classification
- Ex4 - Neural Networks
- Ex5 - Bias-Variance Tradeoff
- Ex6 - SVM's and Kernels
- Ex7 - K-means clustering algorithm and PCA