Skip to content

This project uses the most popular classification techniques to predict the outcomes after extensively working on EDA treating missing values and imbalanced data.

Notifications You must be signed in to change notification settings

ChiragSP42/Supervised-Learning-Project

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 

Repository files navigation

This project uses the most popular classification techniques to predict the outcomes after extensively working on EDA treating missing values and imbalanced data. This project has two parts.

Part 1-Predicting the condition of the patient depending on the received test results on biomechanics features of the patients according to their current conditions.

Part 2-Build an AIML model to perform focused marketing by predicting the potential customers who will convert using the historical database.

About

This project uses the most popular classification techniques to predict the outcomes after extensively working on EDA treating missing values and imbalanced data.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published