https://github.com/tstreamdoth/instacart-market-basket-analysis
Use Instacart public dataset to report which products are often shopped together. 🍋🍉🥑🥦
https://github.com/tstreamdoth/instacart-market-basket-analysis
data-analysis data-science instacart market-basket-analysis
Last synced: about 2 months ago
JSON representation
Use Instacart public dataset to report which products are often shopped together. 🍋🍉🥑🥦
- Host: GitHub
- URL: https://github.com/tstreamdoth/instacart-market-basket-analysis
- Owner: tstreamDOTh
- Created: 2017-12-23T18:24:29.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2018-03-19T06:05:07.000Z (about 7 years ago)
- Last Synced: 2025-03-17T19:21:20.199Z (about 2 months ago)
- Topics: data-analysis, data-science, instacart, market-basket-analysis
- Language: Jupyter Notebook
- Homepage:
- Size: 983 KB
- Stars: 36
- Watchers: 2
- Forks: 18
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Instacart Market Basket Analysis 🍋🍉🥑🥦
[](https://cloud.docker.com/stack/deploy/)
Aim : Use Instacart public dataset to report which products are often shopped together.
Please use nbviewer to view the notebook online, links are given below
**EDA (Exploratory Data Analysis)** [View notebook online on nbviewer](https://nbviewer.jupyter.org/github/tstreamDOTh/Instacart-Market-Basket-Analysis/blob/master/code/Data%20Analysis.ipynb "EDA")
**Market Basket Analysis** [View notebook online on nbviewer](https://nbviewer.jupyter.org/github/tstreamDOTh/Instacart-Market-Basket-Analysis/blob/master/code/Market%20Basket%20Analysis.ipynb "Market Basket Analysis")
If you want to run it locally then follow the instructions bellow"
```
git clone https://github.com/tstreamDOTh/Instacart-Market-Basket-Analysis
cd Instacart-Market-Basket-Analysis
jupyter notebook
```
Note: Please download the dataset from https://www.instacart.com/datasets/grocery-shopping-2017 and store it in /data/raw directory.
The Instacart Online Grocery Shopping Dataset 2017”, Accessed from https://www.instacart.com/datasets/grocery-shopping-2017 "
To run on docker 🐳 :
Build the container from the Dockerfile.
```
docker run -p 8888:8888 -it container-name /bin/bash
```
Then execute the following command -
```
jupyter notebook --ip 0.0.0.0 --allow-root
```