This repository contains solution to the assignment problems for the course "Machine Learning" by Andrew Ng, probably one of the most famous (and oldest) course offered in this field. It is available free of cost, and I recommend everyone to give it a shot. All the homework problems are in MATLAB/OCTAVE, but I am planning to also upload the Python versions in the near future.
involves implementing unsupervised Machine Learning algorithm to predict from the existing features (training data) based on batch gradient descent method (or Normal Eq.). The underlying algorithm essentially solves least square fitting between the training and linear regression prediction.
involves implementing unsupervised Machine Learning algorithm to predict from the existing features based on batch gradient descent method (or Normal Eq.). The underlying algorithm essentially solves least square fitting between the training and logistic regression for classification.