Mileage-prediction

predicting the mileage of a vehicle given the specifications.

in this project i am predicting the mileage of the vehicle with the data given.the dataset i am using to train my machine learning model is very famous and is taken from kaggle.the auto mpg dataset have columns like

mpg: this is the mileage of the vehicle in miles per gallon,which i converted to kilometers per litre.\ cylinders: the number of cylinders in the engine.\ displacement:the engine capacity.this data was given in cubic inches which i converted to cubic centimeters\ horsepower:horsepower of the engine.\ weight: weight of the vehicle given in lbs which i converted into kgs.\ acceleration: the time(in seconds) it takes to reach 0-60mph.\ model year: the year the car was manufactured.in this column the value given was year%100.\ origin:origin of the car.three values are given in this column it can be American,European or Asian.\ car name: name of the car.

the link to the dataset is https://www.kaggle.com/uciml/autompg-dataset.

inputs in the web app:

cylinders: no of cylinders\ displacement: capacity of the engine in cubic centimeters (cc)\ horsepower: horsepower\ weight: in kgs\ acceleration: the time(in seconds) it takes to reach 0-60mph.\ model year: format(YYYY)\ origin: select from the dropdown list.\ https://share.streamlit.io/harshi606/fuel-prediction/main/mileageapp.py

click this link to view the web application

WHAT IS THERE IN THIS FILES ?

1. mileage_model.pkl - This is the model used for web integration.
2. untitled.ipynb - This is the trained model code.
3. mileageapp.py - This file contains the web integration using streamlit.

Built With

• jupyter-notebook
• python
• shell
• streamlit