🏡Lisbon House Price Prediction
Welcome to the Lisbon House Price Prediction project! This project aims to predict house prices in Lisbon based on various features, using data science and machine learning techniques. Whether you're interested in real estate, data analysis, or machine learning, this project provides an insightful exploration of housing data in one of Europe’s most vibrant cities.
📁 Project Files
Lisbon_House_Price_Prediction.ipynb: Jupyter Notebook with all steps from data cleaning to model evaluation. lisbon-houses.csv: Dataset containing the features and target variable (house prices) used in the analysis.
🛠️ Project Workflow
Data Cleaning 🧹:
Load and clean the dataset. Handle missing values, outliers, and ensure data consistency.
Exploratory Data Analysis (EDA) 📊:
Visualize key features impacting house prices. Uncover insights on features such as location, size, and Area.
Model Selection 🧠:
Train and test the Linear Regression Model.
📈 Results and Findings
The Linear regression model reach an 70% rate. The AreaGross and the number of bathrooms are good predictors of the price.