Skip to content

Golgovskiy/ML-Demo

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 

Repository files navigation

ML-Demo

By Alexey Golgovskiy.

A step-by-step demonstration of a machine learning task. This is a test task that I have solved before. It is not the most optimal way to solve this task, but it was created for demonstration purposes.

(Link on Kaggle (imported))

Task

Churn modelling: Predicting whether the customer will leave.

Dataset

Dataset does not belong to me. (https://www.kaggle.com/datasets/shrutimechlearn/churn-modelling) Included 10,000 records (churn_modelling.csv)

Model

95% accuracy in cross-validation for F1

What has been done

  • Conducted EDA
  • Analyzed data
  • Preprocessed features
  • Trained several popular classification models for testing and comparison
  • Trained the final model and fine-tuned it for the final score
  • Provided conclusions and some important visualizations + feature importance

About

A demonstration task ML solved step by step.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published