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worldcloud

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MBA involves analyzing customer transaction data to identify which products are purchased together in the same basket or transaction. The analysis is typically done by looking at the frequency of co-occurrence of items in the transaction data, and then applying statistical techniques to identify which items are most frequently purchased together.

  • Updated Sep 29, 2023
  • Jupyter Notebook

Customer Insights & Recommendation System: Harnessing Decision Tree, Logistic Regression, and Random Forest models for behavior analysis. Utilizing EasyOCR and Python Imaging Library for image information extraction. Employing NLTK for sentiment analysis on textual data

  • Updated Feb 5, 2024
  • Jupyter Notebook

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