Instacart-Market-Basket-Analysis

Instacart-Market-Basket-Analysis

archd3sai

The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previously purchased item will be in user's next order. Customer segmentation and affinity analysis are done to study customer purchase patterns and for better product marketing and cross-selling.

99 Stars
39 Forks
99 Watchers
Jupyter Notebook Language
mit License
100 SrcLog Score
Cost to Build
$32.5K
Market Value
$56.9K

Growth over time

1 data points  ·  2026-04-10 → 2026-04-10
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What is the archd3sai/Instacart-Market-Basket-Analysis GitHub project? Description: "The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previously purchased item will be in user's next order. Customer segmentation and affinity analysis are done to study customer purchase patterns and for better product marketing and cross-selling.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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