anhminh3105 / Coursera_Machine_Learning

Coursera: Machine Learning - taught by Prof. Andrew Ng

This repository contains all the assignments done for the course.

Outline

Ex1:

• Food Truck Profit Prediction - Univariate Linear Regression.
• Prices of Houses Prediction- Multivariate Linear Regression.

Ex2:

• University Admission Probability Prediction - Logistic Regression.
• Quality Check for Microchips Fabrication Prediction - Regularised Logistic Regression.

Ex3:

• Hand Writen Digit Recogniser - Multi-class Logistic Regression.
• Hand Writen Digit Recogniser - OneVSAll Logistic Regression.
• Hand Writen Digit Recogniser - Neural Networks Forwards Propagation Implementation.

Ex4:

• Hand Writen Digit Recogniser - Neural Networks Bacwards Propagation Implementation.

Ex5:

• Dam Water Level - Bias v.s. Variance for Regularised Linear Regression.

Ex6:

• Spam Classifier - Support Vector Machines (SVM).

Ex7:

• Image Compression - K-mean Clustering.
• Feature Reduction on Face Image Dataset - Principal Component Analysis (PCA).

Ex8:

• Failing Network Servers Dectector - Anomaly Detection.
• Recommender System for Movies - Collaborative Filtering.