📌 Project Overview This project utilizes machine learning to predict house prices in Ames, Iowa, based on various features such as lot size, number of rooms, and overall quality. The model is trained using regression techniques to provide accurate price estimates.
Python 🐍 Pandas & NumPy 📊 Scikit-Learn 🤖 Matplotlib & Seaborn 🎨 Jupyter Notebook 📓 📂 Dataset The dataset used is the Ames Housing Dataset, which contains detailed information on houses sold.
✔ Data Cleaning & Preprocessing ✔ Exploratory Data Analysis (EDA) ✔ Feature Engineering ✔ Model Training & Evaluation ✔ Price Prediction
The model predicts house prices with high accuracy, offering insights into key factors influencing real estate values.
📬 Contact If you have any questions or suggestions, feel free to reach out! 🚀