This is a Jupyter project demonstrate on regression model training. You may visit the presentation slide below.

Presentation Slide Link: https://docs.google.com/presentation/d/1d3QmS1A7Vqn16JUQmDEF7P3PND2N7QLmmtiNEIG28h8/edit#slide=id.g2eaf6dd9bac_0_85

The data model study below is based on Kaggle open dataset: https://www.kaggle.com/competitions/house-prices-advanced-regression-techniques/overview

This is the US Housing dataset in Ames, Lowa. It cotains 79 features related to house information such as OverallQual, LotArea, YearBuilt and quality Condition.

The goal is to predict the housing price by training a regression model with the provided data and explain what are the key factors affecting the house price.

Data Cleaning & Exploration

Data Transformation

Model Selection

Base Model Training

Feature Engineering and Model Finetune

Model Enhancement

Conclusion