Skip to content
#

ibm-dataset

Here are 6 public repositories matching this topic...

Analyze employee attrition trends using IBM's fictional HR dataset. This intermediate-level project leverages Python, machine learning, SQL, and Excel to uncover key factors influencing turnoversuch as job satisfaction, income, and work-life balanceempowering data-driven HR decisions and retention strategies.

  • Updated Jan 22, 2026

This project explores customer churn trends for a company in California using an IBM dataset. Built in a Jupyter Notebook, it employs pandas, NumPy, matplotlib, seaborn, plotly, and scipy to clean, analyze, and visualize data. SKlearn predictive model was trained using three main algorithms Decision Tree, Naive Bayes, and Random Forest

  • Updated May 16, 2025
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the ibm-dataset topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the ibm-dataset topic, visit your repo's landing page and select "manage topics."

Learn more