Car Price Prediction

Machine learning
Linear Regession
Lasso Regression
Python
Scikit-learn
Matplotlib
Pandas

The Car Price Prediction Model is a sophisticated tool designed to estimate the price of automobiles by leveraging both Linear and Lasso regression techniques. This model incorporates various attributes such as mileage, manufacturing year, engine capacity, brand, and other relevant features to predict the selling price of cars accurately. Employing Linear regression, the model establishes relationships between multiple input variables and the final car price, determining how each attribute contributes to the overall valuation.

Feature Description
  • Year: The year the car was purchased
  • Present_Price: The present price of the car
  • Kms_Driven: The number of kms driven by the car
  • Fuel_Type: The fuel the car uses
  • Seller_Type: Who sold the car
  • Transmission: The transmission type
  • Owner: The number of owners who owned the car previously

Files

Try it out
Click Run for Results
Most Used Packages
logo
Scikit-learn
logo
Pandas
logo
Numpy
logo
Matplotlib
Other Projects