House Prices Regression Predicction Model
Ren Kylo
Data Modelling Analyst
Data Scientist
ML Engineer
Python
House Prices Regression Predicction Model
This is a Jupyter project demonstrate on regression model training. You may visit the presentation slide below.
Dataset Overview
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.
Objective
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.
Model Training Flow
Data Cleaning & Exploration
Data Transformation
Model Selection
Base Model Training
Feature Engineering and Model Finetune
Model Enhancement
Conclusion
