Skip to content

Latest commit

 

History

History
10 lines (9 loc) · 614 Bytes

README.md

File metadata and controls

10 lines (9 loc) · 614 Bytes

Cabs-Price-Prediction

Description:

This project aims to investigate different machine learning algorithms for a regression task and operationalizing it.

Index

  1. Feature Selection: Boruta technique has been used to select only useful features in predicting the price of a cab
  2. Employed various Machine learning Algorithms to know which has the best predictive power using Azure ML Studio
  3. Deployed the Machine Learning model using Azure ML Web services

Youtube Link for Model Deployment and Project description

https://www.youtube.com/watch?v=1GAZc4mM8K4&feature=youtu.be&ab_channel=AshritKulkarni