Customer Satisfaction Factor Analysis for Nike and Adidas Products

Project Goal: This project was created to examine the factor analysis of customer satisfaction with Nike and Adidas Products using Decision Tree and Random Forest algorithms. This project includes using the CRISP-DM (Cross Industry Standard Process for Data Mining) framework and data mining using Python and Jupyter Notebook.

Task: Performed data preparation and Exploratory Data Analysis based on Nike and Adidas product data, built machine learning models using Decision Tree and Random Forest classifiers.

More: Customer Satisfaction Factor Analysis for Nike and Adidas Products on GitHub