Welcome to my Machine Learning Project Page!

Table of Content

Introduction
Project I - Linear & Logistic Regression
Project II - Artificial Neural Network Classifier
Project III - Regularization & Bootstrapping & Support Vector Machine & Principal Component Analysis

Introduction

This page contains the projects that I have worked on in the machine learning course. I gained a deep understanding of different machine learning models through the application to the real-world datasets.

Project I - Linear & Logistic Regression

Investigate the relationship between the miles per gallon (mpg) and several features of a car using linear and logistic regression. [Code]

Project II - Artificial Neural Network Classifier

Build a neural network classifier that can find the localization site of a protein in yeast based on different features. [Code]

Project III - Regularization & Bootstrapping & Support Vector Machine & Principal Component Analysis

  • Use regularization methods to select the informative features.
  • Calculate the confidence interval of the prediction using the bootstrapping method.
  • Create Support Vector Machine Classifier and evaluate its performance using ROC (Receiver Operating Characteristic) and PR (Precision – Recall) Curve.
  • Perform Principal Component Analysis and evaluate its performance using ROC and PR Curve.
    • [Code]

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