PYTHON PROGRAMMING Predicting Price. of used cars. The DataToyotaCorolla.csv file contains data on sales of used Toyota
Posted: Thu Jul 14, 2022 2:27 pm
PYTHON PROGRAMMING
Predicting Price. of used cars. The DataToyotaCorolla.csv filecontains data on sales of used Toyota Corolla cars. It has 1436records containing details on 38 attributes, including Price, Age,Kilometers, HP, and other specifications. The goal is to predictthe price of a used Toyota Corolla based on its specifications.
1. Create dummy variables for the categorical predictors andrename the file into TrainingDataToyotaCorolla.csv. Provide theused references in your report.
2. Using Python, run a multiple linear regression with theoutput variable Price and input variables Age 08 04, KM, FueLType,HP, Automatic, Doors, Quarterly Tax, Mfr Guarantee, GuaranteePeriod, Airco, Automatic_Aireo, CD Player, Powered_Windows,Sport-Model, and Tow_Bar. What appear to be the four mostimportant car specifications for predicting the car's price?Specify the Partial Search Algorithms used to determinethat.
I need Python code on how this has been achieved afterdoing linear regression.
Link for the data file:
Predicting Price. of used cars. The DataToyotaCorolla.csv filecontains data on sales of used Toyota Corolla cars. It has 1436records containing details on 38 attributes, including Price, Age,Kilometers, HP, and other specifications. The goal is to predictthe price of a used Toyota Corolla based on its specifications.
1. Create dummy variables for the categorical predictors andrename the file into TrainingDataToyotaCorolla.csv. Provide theused references in your report.
2. Using Python, run a multiple linear regression with theoutput variable Price and input variables Age 08 04, KM, FueLType,HP, Automatic, Doors, Quarterly Tax, Mfr Guarantee, GuaranteePeriod, Airco, Automatic_Aireo, CD Player, Powered_Windows,Sport-Model, and Tow_Bar. What appear to be the four mostimportant car specifications for predicting the car's price?Specify the Partial Search Algorithms used to determinethat.
I need Python code on how this has been achieved afterdoing linear regression.
Link for the data file: