valerie-okpere/abuja-housing-price-prediction
Domaine:
socioeconomicType de record:
dataset
Créateur:
val
Hôte:
A data-driven project focused on understanding and predicting housing prices in Abuja, Nigeria. By analyzing real estate data, this project uncovers trends and patterns in property values, providing insights into factors that influence pricing and demonstrating practical applications of predictive modeling in the real estate market.
# Abuja Housing Market: A Linear & Ridge Regression Analysis
This project applies concepts from the **World Quant University program** to a real-world housing dataset, focusing on **Abuja, Nigeria**. Using data cleaning, visualization, and machine learning techniques, I implemented a **Ridge Regression model** to predict housing prices and explore how key property features influence market value.
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## 📌 Project Overview
The goal of this project was to understand the Abuja housing market by analyzing over **24,000 property listings**. The workflow included:
1. **Data Wrangling:** Filtering to Abuja listings, converting numeric columns, removing outliers, and preparing the dataset for modeling.
2. **Exploratory Data Analysis (EDA):** Visualizations such as histograms, boxplots, and scatter plots to explore distributions and relationships between features and price.
3. **Correlation Analysis:** Evaluating the relationships between price and numeric features like bedrooms, bathrooms, and toilets.
4. **Machine Learning:**
* Built a **baseline model** using the mean price.
* Implemented a **Ridge Regression pipeline** with one-hot encoding for categorical variables.
* Evaluated performance using **Mean Absolute Error (MAE)** on training and test sets.
5. **Interactive Predictions:** A Jupyter Notebook widget allows users to adjust property features and get real-time price predictions.
* **Dataset Source:** Kaggle - Nigeria Houses and Prices Dataset
* **Original Data Source:** Nigeria Property Centre
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## 📊 Dataset Description
The dataset contains **24,326 entries** with 8 key parameters. For this project, only **2020 listings within Abuja** were considered.
| Parameter | Description |
| :---------------- | :------------------------------------------------- |
| **Bedrooms** | Number of bedrooms in the house |
| **Bathrooms** | Number of bathrooms |
| **T …