Task

Housing Prices Prediction

Data Source

https://www.kaggle.com/datasets/yasserh/housing-prices-dataset/data

Objectives

1. Data cleaning and Exploratory Data Analysis (EDA).
2. Feature selection.
3. Regression models to predict house prices.
4. Results visualization and Interpretations.
5. Model evaluation (R2, MAE, and RMSE).

Results

Multi-Collinearity Between Numerical Features

Bar Charts of Categorical Features

Scatter Plot of Predicted Values Vs Actual Values (Linear Regression Model)

Scatter Plot of Predicted Values Vs Actual Values (Random Forest Model)

Feature Importance (Random Forest Model)

Results Comparison