marketing-analytics

Recommender System implementation in Python for Applied Machine Learning: Marketing lesson in DSA HCID Iykra 2019.

17 November 2019

Please find two Jupyter Notebooks below in this repository:

• Market Basket Analysis with Apriori.ipynb
• Recommender System.ipynb

The 2 datasets used for this repository are:

1. retail.csv for Market Based Analysis with Apriori
   
   Source: https://www.kaggle.com/c/instacart-market-basket-analysis/data
2. books.csv and ratings.csv for CB Filtering, Collaborative Filtering and Hybrid Filtering
   
   Source: https://www.kaggle.com/philippsp/book-recommender-collaborative-filtering-shiny

Copyright © 2020 Gunawan Lumban Gaol, Mike Bratanata

Licensed under the Apache License, Version 2.0 (the “License”); you may not use this file except in compliance with the License. You may obtain a copy of the License at: http://www.apache.org/licenses/LICENSE-2.0

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