Machine Learning

Introduction

Hi there! Welcome to my repository for the Machine Learning course I took in Fall '20. This repository is a collection of the machine learning projects I completed for the course.

Topics of projects in this repository include:

• Alzheimer's Disease Prediction
  • Data Analysis & Processing
  • Medical Image Processing
• Lung CT Scan Medical Image Processing
• Seoul AirBnB Price Prediction
  • Prediction Model
  • Presentation
  • Final Report

For each project, I have experimented and learned about the following machine learning algorithms:

• Alzheimer's Disease Prediction
  • K-Nearest Neighbors
  • Decision Tree
  • Support Vector Machine
  • Random Forest
• Lung CT Scan Medical Image Processing
  • Convolutional Neural Network
• Seoul AirBnB Price Prediction
  • XGB Regressor
  • Random Forest Regressor
  • K-Nearest Neighbors Regressor
  • Support Vector Regressor

All python scripts are uploaded with a link to Google Colab. Take a look!

Written by: Jang Woo Park