https://github.com/krisharul26/santander-customer-transaction-prediction-with-feature-selection-ann-application

we can more accurately identify new ways to solve our most common challenge, binary classification problems such as: is a customer satisfied? Will a customer buy this product? Can a customer pay this loan?
https://github.com/krisharul26/santander-customer-transaction-prediction-with-feature-selection-ann-application

Last synced: 7 months ago
JSON representation

we can more accurately identify new ways to solve our most common challenge, binary classification problems such as: is a customer satisfied? Will a customer buy this product? Can a customer pay this loan?

• Host: GitHub
• URL: https://github.com/krisharul26/santander-customer-transaction-prediction-with-feature-selection-ann-application
• Owner: KrishArul26
• Created: 2021-04-16T16:12:25.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2021-05-19T06:15:01.000Z (over 4 years ago)
• Last Synced: 2025-01-04T18:25:32.228Z (9 months ago)
• Language: Jupyter Notebook
• Size: 953 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# Santander-Customer-Transaction-Prediction-With feature selection-ANN Application

In this classification project I have applied feature selection, Feature Engineering techniques Also, Dimensanility reduction techniques such as PCA, variance threshold techniques and correlation techniques with SWOT.