Skip to content

This repo contains data science projects applying ML techniques in various industries, providing practical insights into business applications. Explore data analysis, preprocessing, modeling, and evaluation.

Notifications You must be signed in to change notification settings

Ubeydkhoiri/data-science-for-business

Repository files navigation

Data Science for Business

Welcome to the Data Science for Business repository! This repository features data science projects applying machine learning techniques across various departments including HR, Marketing, Sales, Operations, PR, and Maintenance & Manufacturing. Each project is designed to provide practical insights into business applications and decision-making processes.

Projects

  • HR Department: Predicting Employee Attrition
  • Marketing Department: Customer Segmentation and Targeting
  • Sales Department: Sales Forecasting and Lead Prioritization
  • Operations Department: Process Optimization and Efficiency Analysis
  • PR Department: Sentiment Analysis and Brand Perception
  • Maintenance & Manufacturing Department: Predictive Maintenance and Quality Control

Getting Started

To explore the projects, simply navigate to the project directory of interest and follow the instructions provided in the README.md file within each project directory.

Requirements

  • Python 3.x
  • Jupyter Notebook
  • Required Python libraries (specified in each project's README.md)

License

This repository is licensed under the MIT License. See the LICENSE file for details.

About

This repo contains data science projects applying ML techniques in various industries, providing practical insights into business applications. Explore data analysis, preprocessing, modeling, and evaluation.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published