Project 2

Python code:

Importing the libraries

DATA PREPROCESSING:

Reading the dataset

Assigning the target to target column

Dropping the target columns from the df dataset

Converting the categorical datas

Converting the numerical datas

Combining the data

TUNING THE MODEL

Assigning the best cluster as 10 and visualizing the data

Thus the 10 clusters are plotted.

Applying Linear Regression to the target variable and finding the errors

1. Price

2. City-mpg