# archd3sai/Instacart-Market-Basket-Analysis

<https://repo.masters-masters.com/en/repos/archd3sai/Instacart-Market-Basket-Analysis>

[Home](https://repo.masters-masters.com/en) › [archd3sai](https://repo.masters-masters.com/en/owners/archd3sai) › [Instacart-Market-Basket-Analysis](https://repo.masters-masters.com/en/repos/archd3sai/Instacart-Market-Basket-Analysis)

archd3sai/Instacart-Market-Basket-Analysis has 109 stars on GitHub. Its RepoMasters card: Prototype tier. The objective of this project is to analyze the 3…

| Field | Value |
| --- | --- |
| Owner | [archd3sai](https://repo.masters-masters.com/en/owners/archd3sai) |
| Stars | 109 |
| Forks | 43 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2019 |
| Topics | market-basket-analysis, instacart, analysis, segmentation, clustering, feature-engineering, feature-extraction, customer-segmentation, xgboost, neural-network |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [archd3sai/Instacart-Market-Basket-Analysis](https://github.com/archd3sai/Instacart-Market-Basket-Analysis) |

## Repository

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 m…

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.