Skip to content

The project aims to analyze past placement data, uncover factors affecting success, and develop a machine learning model to predict future placement outcomes. Through this, we aim to gain insights and build a reliable model for accurately forecasting candidate placements.

Notifications You must be signed in to change notification settings

Yashmenaria1/Placement-Data-Analysis-and-Prediction-Model-Development

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 

Repository files navigation

Placement-Data-Analysis-and-Prediction-Model-Development

The project aims to analyze past placement data, uncover factors affecting success, and develop a machine learning model to predict future placement outcomes. Through this, we aim to gain insights and build a reliable model for accurately forecasting candidate placements. .

USER INPUT: image

OUTPUT BY MODEL TRAINED USING KNN, SVC, LOGISTIC REGRESSION:

image

About

The project aims to analyze past placement data, uncover factors affecting success, and develop a machine learning model to predict future placement outcomes. Through this, we aim to gain insights and build a reliable model for accurately forecasting candidate placements.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published