Skip to content

A ML Web App which predicts Miles Per Gallon(MPG) efficiency of a vehicle when provided 7 inputs like Weight, Displacement etc.

Notifications You must be signed in to change notification settings

apurvayadav/auto-mpg-prediction

Repository files navigation

auto-mpg-prediction

A normal Machine Learning web app that predicts the vehicle miles per gallon efficiency (MPG) given 7 input features. A Random Forest Regression model is used to predict the MPG value.

  • Cylinders
  • Displacement
  • Horsepower
  • Weight
  • Acceleration
  • Model Year
  • Origin

The detailed explaination of the model can be found in the auto-mpg.ipynb and predicting_fuel_efficiency.ipynb.

Tools:

  • Python
  • Sklearn
  • Pandas
  • Matplotlib
  • Bootstrap
  • Heroku
  • Other tools can be found in the requirements.txt

References:

About

A ML Web App which predicts Miles Per Gallon(MPG) efficiency of a vehicle when provided 7 inputs like Weight, Displacement etc.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published