Market-Basket-Analysis

Project title: Use of machine learning techniques to create a recommender system.

Author: Tola Ogunniyi

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Date completed: March 26, 2020.

Introduction:

A key strategy for large retailers is finding the association between different items/products that are purchased by customers. Market Basket analysis lends itself to this particular goal via rules-based learning (i.e. associations rules mining). Some of the goals that Market basket analysis can help retailers achieve are listed below:

• Recommend products.
• Plan a store layout.
• Design sales promotions that combine discounted and marked up items.
• Dicover trigger products(products which when bought together, trigger other purchases).

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Dataset

I used an Amazon electronics review dataset for my capstone project that I found on Kaggle. The dataset contained over 1,000,000 rows. I extracted 600,000 rows of the dataset for my capstone project using command line as shown in the image below.

Command line script to extract 600,000 rows of data I wanted for my capstone project

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Jupyter notebook

The project consists of two parts listed below. I launched a jupyter notebook instance on Amazon Sagemaker to complete work for the project with the exception of a graph that was created using Gephi.

Part 1:

• Exploratory data analysis (EDA)

Part 2:

• Modeling and extraction of .csv file for network analysis.

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• The rules learned from the Market Basket analysis were further processed to create two .csv files (node and edge) used to construct the graph shown below. It is a directed graph and 5 clusters were successfully identified. The name of the different products in the graph was entered manually as the dataset only provided the ASIN (Amazon Standard Identification number) code. I did not find the name for product with ASIN code B000056SSM, and decided to leave it as it is on the graph.

• The graph is based on a dataset in which users provided a rating for the item they have purchased. As a result,the different clusters do provide an insight into the preference(s) of a customer(s) when purchasing electronic products on Amazon.

Network analysis based on associations rules mining

References

• https://www.kaggle.com/saurav9786/recommender-system-using-amazon-reviews
• https://towardsdatascience.com/a-gentle-introduction-on-market-basket-analysis-association-rules-fa4b986a40ce

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Thank you very much for taking the time to look at this project. Please feel free to contact me via email(tola.ogunniyi1@gmail.com) or linkedIn if you have any questions,comments or feedback.