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%