This is a Machine Learning model which predicts the price of the car based on the information given to the model.
This dataset contains information about used cars listed on 
This data can be used for a lot of purposes such as price prediction to exemplify the use of linear regression in Machine Learning.
The columns in the given dataset are as follows:
name
year
selling_price
km_driven
fuel
seller_type
transmission
Owner
Here Selling price is the column that is to be predicted while all other are the independent columns
I have used XGBOOST to train my model. Which is an ensemble technique and performs best for both regressions and classifications.
