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I'm excited to share my latest data science project where I delved into the world of car prices using a dataset from CarDekho.com. This project involved extensive data cleaning, feature engineering, and applying various regression models to predict car prices. Here are some key insights and findings:
🚗📊 Project Overview:Dataset: CarDekho.com vehicle datasetObjective: Predict car prices using linear regression and other regression techniques
Tools Used: Python, Pandas, Seaborn, Scikit-learn, Statsmodels
Diverse Car Range:
The dataset includes a wide variety of cars, from budget-friendly models to luxury vehicles priced up to ₹3.5 crores.Majority of the cars are family cars with a seating capacity of 5.
Car Usage:
The mean kilometers driven is around 52,000, indicating that most cars are well-used before being sold.
Popular Makes and Models:Top Makes: Maruti Suzuki, Hyundai, Mercedes Benz, Honda, ToyotaFuel and Transmission Types:Fuel Types: Diesel (1049), Petrol (942), CNG (50), Electric (7)Transmission Types: Manual (1133), Automatic (926)Geographical Insights:
Top Locations: Mumbai, Delhi, Pune, Bangalore, Hyderabad
Cars are categorized into regions (North, South, East, West) for better analysis.
R² (Test): 0.8619
Mean Absolute Error (MAE): 0.3137
ElasticNet Regression:R² (Test): 0.8619
Mean Absolute Error (MAE): 0.3065
Best Alpha: 0.0046,
Best L1 Ratio: 1.0
Feature Importance:
Top Features Influencing Price:
Age of the car
Engine Power (BHP)
Category (Luxury, Mid Range)
Fuel Tank Capacity
Transmission Type (Manual/Automatic)
Interesting Finds:Costliest Car: Ferrari 488 GTB priced at ₹3.5 croresCheapest Car: Tata Nano Base priced at ₹49,000Most Driven Car: Renault Duster with 2,000,000 kmLeast Driven Car: MINI Cooper JCW Hatchback with 0 km
This project was a fantastic opportunity to apply data science techniques to real-world data and uncover meaningful insights
Feel free to check out the detailed analysis and code on my GitHub https://lnkd.in/gHbfbN7b.
Also available on Kaggle - https://www.kaggle.com/code/manubindra/price-predictions-for-car-dekho-com/edithttps://www.kaggle.com/code/manubindra/price-predictions-for-car-dekho-com/edit