Skip to content

Ksenon2611/ML-pipelines

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

23 Commits
 
 
 
 

Repository files navigation

ML-pipelines

Here you can find end-to-end process of model development for binary classification.
The steps consist of:

  1. Reading Dataset from Teradata DWH
  2. Exploratory Analysis
  3. PSI Calculation
  4. Feature Selection & Modelling
  5. HyperOpt Optimization
  6. Model calibration
  7. Model report

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors