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 ![web](www.cardekho.com)
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.