The Talent Retention Predictor App

Machine Learning Model to predict the retention of employees

Team Members

• Salvador del Cos
• Kenneth Andersen
• Yazmin Rodriguez
• Juan Carlos Cortez
• Marcelo Flores

Project Goal

Create a Machine Learning Model to predict the retention of employees using a data set from IBM.

How to run the app

Click on the following link to check the app,Data Analysis in Tableau and the Machine Learning and Deep Learnig models :

1. Fully deployed online version to go directly to the app online.

2. Run locally:

   1. Clone this repository
   2. In the main repository folder, run "python3 app.py" in your terminal
   3. Open http://127.0.0.1:5000/ in a browser and the website should launch.
   4. Browse the website...

Original data Source 📁

The original data can be found here at Kaggle

ETL Process

Extract

• Download the original HR dataset from IBM

Transform

• Run numerous Machine Learning trials using sklearn, TensorFlow and Keras in Jupyter Notebook
• Create executive summary data visualizations in Tableau

Load

• Use Flask to run the application online.
• Create website using Bootstrap 5.
• Create interactive retention predictor dashboard using Javascript, which calls a route in Flask to produce the machine learning algorithm in Python.
• Embed our Tableau visualizations and Jupyter Notebook on informational pages within the website.

Languages & Tools Used 🖥️

• Python
• Jupyter Notebook
• Sklearn, TensorFlow & Keras libraries
• Flask
• Javascript
• HTML
• CSS