Skip to content

Mugangasia/Car-Price-Prediction-Challenge

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

14 Commits
 
 
 
 
 
 
 
 

Repository files navigation

About Dataset

Assignment

Your notebooks must contain the following steps:
  • Perform data cleaning and pre-processing.
  • What steps did you use in this process and how did you clean your data.
  • Perform exploratory data analysis on the given dataset.
  • Explain each and every graphs that you make.
  • Train a ml-model and evaluate it using different metrics.
  • Why did you choose that particular model? What was the accuracy?
  • Hyperparameter optimization and feature selection is a plus.
  • Model deployment and use of ml-flow is a plus.
  • Perform model interpretation and show feature importance for your model.
  • Provide some explanation for the above point.

Attributes

  • ID
  • Price: price of the care(Target Column)
  • Levy
  • Manufacturer
  • Model
  • Prod. year
  • Category
  • Leather interior
  • Fuel type
  • Engine volume
  • Mileage
  • Cylinders
  • Gear box type
  • Drive wheels
  • Doors
  • Wheel
  • Color
  • Airbags

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published