GFG-Competition

GFG fuel consumption prediction regression model

Q.] What is your project about?

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

Analysing the 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

Tools used :

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

Principles or concepts used

• Regression Classification
• One Hot Encoding
• MICE imputation

Citations:

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