Skip to content

rgoubault/machine-learning-portfolio

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

198 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Rainier Goubault Machine Learning Portfolio

This respository hosts the machine learning portfolio by Rainier Goubault

-- Project Status: [Active, On-Hold, Completed]

Projects

This is an image

View Notebook | -- Project Status: [Completed]

Task:

  1. Identify and visualize which factors contribute to customer churn.
  2. We aim to accomplish building a prediction model that will classify if a customer is going to churn or not, making it easier for the company to target these 'high-risk' churn customers as a part of its retention efforts.


This is an image

View Notebook | -- Project Status: [Completed]

Task:

  1. Identify and visualize which factors contribute to customer purchases.
  2. We aim to accomplish building a prediction model that will classify if a customer is going to purchase, in this case, whether customers will purchase car insurance or not, thus making it easier for this company to target its customers most likely to purchase as a part of its marketing promotional efforts.


This is an image

View Notebook | -- Project Status: [Completed]

Task:

  1. Identify and visualize which factors contribute to customer churn.
  2. We aim to accomplish building a prediction model that will classify if a customer is going to churn or not, making it easier for the company to target these 'high-risk' churn customers as a part of its retention efforts.


This is an image

View Notebook | -- Project Status: [Completed]

Task:

  1. We aim to accomplish building a prediction model that will classify website visitors’ purchase intention, how likely is it that they will make a purchase, thus making it easier for the company to target and convert these customers as a part of its marketing promotional efforts.


About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors