CAR PRICE PREDICTION

A MODEL THAT WILL PREDICT THE PRICE OF CAR ACCORDING TO SOME ATTRIBUTES  Examples-

brand,engine type ,wheels etc.

THIS MODEL CAN HELP REAL BUISNESSES IN FINDING THE ACUTAL VALUE OF THE CAR

Data set selection

we must choose dataset such that it has many attributes which will help us predict the price more precisely

DATA CLEANING

WE NEED TO CLEAN THE DATA SO THAT THE RESULTS ARE NOT VERY DISCRETE .

METHODS SUCH AS EDA(EXPLORATORY DATA ANALYIS )ARE USED

THIS INVOLVES REMOVING NULL VALUES ,OUTLIERS .

DATA VISUALIZATION

VISUALIZING HELPS TO UNDERSTAND THE TYPE OF DATA AND WHICH HELPS US CHOOSE THE ALGORITHM MORE WISELY.

TRAINING 

VARIOUS  REGRESSION ALGORITHMS ARE USED TO PREDICT THE CAR PRICE PRECISELY.

METHODOLOGY

AFTER TRAING THE MODEL

IS SAVED USING PICKLE LIBRARY IN BINARY FORMAT WHICH I EASY TO SERIALIZE AND DESREALIZE

PICKLE LIBRARY

GUI 

A PYTHON LIBRARY ,FLASK PROVIDES US WITH DIFFERENT APIS TO VISUALIZE THE APPLICATION .

TWO ENDPOINTS WERE EXPOSE i.e

"/"

 and 

"/PREDICT"

RESULT AND ANALYIS

R2 values comes out to be 94%

END