Skip to content

Use a PyTorch dense-net to predict if a client subscribes to a term deposit

Notifications You must be signed in to change notification settings

Mainakdeb/bank-me-later

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

23 Commits
 
 
 
 
 
 
 
 

Repository files navigation

bank-me-later 🏦 💵

Open In Colab Binder

Use a PyTorch dense-net to predict if a client subscribes to a term deposit or not using attributes like job, marital status, age etc with an accuracy of 94% on the test-set

Background:

The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. The classification goal is to predict if the client will subscribe a term deposit (variable y).

Download dataset: UC Irvine repository

Source: [Moro et al., 2014] S. Moro, P. Cortez and P. Rita. A Data-Driven Approach to Predict the Success of Bank Telemarketing. Decision Support Systems, Elsevier, 62:22-31, June 2014

About

Use a PyTorch dense-net to predict if a client subscribes to a term deposit

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published