Machine-Learning-Peojects

Introduction

I started studying ML in late May 2018. I took a free online course series by Andrew Ng and some other online tutorials.

House Prices with Advanced Regression Techniques

This is another ML project from Kaggle, and I am going to predict the final price of each house.

• First Solution (7/16/2018): Top 24% on Kaggle

Titanic: Machine Learning from Disaster

This a basic-leveled ML project from Kaggle. In this project, I've completed the analysis of what sorts of people were likely to survive, and I've aldo applied the tools of ML to predict which passengers survived with 86.87% accuracy. (Still need improvement...)

• Click here to view my work.

Early Projects

This folder contains several simple projects in which I practiced the following ML algorithms: (Click the links to view my projects)

• Decision Trees and Random Forest
• K Means Clustering
• K Nearest Neighbors (KNN)
• Natural Language Processing
• Support Vector Machines (SVM)