🚗 Used Car Price Analysis & Prediction An end-to-end data science project that analyzes used car price data and builds a machine learning model to predict car prices. The project also includes a Power BI dashboard and a Streamlit web application for interactive predictions.

📌 Project Overview This project aims to:

• Analyze used car price data to uncover key insights
• Perform data cleaning and preprocessing
• Build and evaluate a Linear Regression model
• Visualize insights using Power BI
• Deploy a prediction system using Streamlit https://carpriceprediction-regression-ml.streamlit.app/

📈 Exploratory Data Analysis (EDA) Key visualizations generated during data exploration and modeling.

Analysis Includes:

• Price distribution
• Correlation analysis
• Feature impact on car price
• Model performance metrics

🤖 Machine Learning Model Algorithm: Linear Regression Target Variable: Car Price (USD) Evaluation Metrics:

• R² Score
• MAE
• RMSE

The trained model and preprocessing pipeline are saved for deployment:

• linear_model_car_price.pkl
• preprocessor.pkl

🌐 Streamlit App Preview Interactive web application for predicting used car prices based on user inputs.

Key Features:

• User-friendly input form
• Real-time price prediction
• Integrated preprocessing & trained ML model pip install -r requirements.txt streamlit run app.py

📊 Power BI Dashboard Preview Dashboard designed to provide business and analytical insights from used car data.

Insights Highlighted:

• Price distribution by fuel type
• Brand-wise price comparison
• Mileage vs price relationship
• Key KPIs and summary statistics

🛠️ Technologies Used

• Python
• Pandas & NumPy
• Scikit-learn
• Streamlit
• Power BI

🎯 Key Takeaways

• Built a complete data science pipeline from raw data to deployment
• Delivered insights through interactive dashboards
• Developed a usable prediction system for real-world scenarios

🚀 Future Improvements

• Try advanced models (Random Forest, XGBoost)
• Hyperparameter tuning
• Model performance comparison
• Cloud deployment (Streamlit Cloud / Azure)

👩‍💻 Author Atikah Dr Aspiring Data Analyst & Data Scientist 📊 Passionate about data-driven decision making

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