Prediction Using KNN

Predicting the Bnglore house price.

Objective

To build a predictive model for Banglore house price.

Overview

Used Necessory libries to perform EDA, Plotting and to get data information. Used KNN Regressor to predict whether customer will purchase the Iphone or not.

Methodology

1.Preprocessing and EDA:

Performed EDA to get more informative features like null values, outliers, correlation and so on.

2.Model Building:

Used K-NearestNeighborsRegressor model.

3. Model Validation:

• R Square values
• Mean squared error
• Mean absolute error