Skip to content

shrinath305/Deep-learning

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Deep learning

This is my first code in deep learning. I have taken a data set(fictional) of a bank contains 10000 rows and 14 variable. Goal of this project is to create job demographich segmentation model to tell the bank which of their customer are at highest risk of leaving. Machine learning model is been modelled using artificial neural network. Using Keras library(in python) and H20 (In R) has been used to model building. Though the output is categoircal so, i used Sigmoid activation function wherease for Hidden layer ReLu activation function.

About

Building predictive model using neural networks

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published