GFG fuel consumption prediction regression model

> This project is about predict target variable MGP (Miles per Gallon) by using the features given in the dataset of the Competition Edu Dataset.

While working with the dataset, the following conclusions were made:

• There are missing calues only in the 'Horsepower' column in the form of '?'
• VW makes cars with most miles/gallon
• MPG is most related to DIsplacement
• Earlier the car is made, lesser the MPG
• Car with Origin 3 have most MPG

• Numpy
• Pandas
• Matplotlib
• Seaborn
• Category Encoders
• XGBoost

• Regression Classification
• One Hot Encoding
• MICE imputation

Dua:2019 , author: Dua, Dheeru and Graff, Casey year: 2017 title: {UCI} Machine Learning Repository url: http:https://archive.ics.uci.edu/ml institution: University of California, Irvine, School of Information and Computer Sciences