CAR PRICE PREDICTION WITH MACHINE LEARNING

The price of a car depends on a lot of factors like the goodwill of the brand of the car, features of the car, horsepower and the mileage it gives and many more. Car price prediction is one of the major research areas in machine learning. This project files contains dataset, source code both ipynb and py and models of the machine learning files.

• Importing Required Packages

• Reading the dataset from Kaggle link: https://drive.google.com/file/d/1EUfj25s3IVVe4Kxrz1hmf9QCSzy_G6Dh/view

• Checking null values and dimensions of the dataset

• Taking the required information from the dataset

• Plotting Bivariate Bars, Joint plot and Correlation Matrix

• Model Building

• Testing Model (Linear Regression, Decision Tree Regression)

• Accuracy of the Model

• Saving the Model