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Implement Apriori algorithm on store dateset in order to extract association rules, and K-NN algorithm on mushroom dateset to classify that mushroom is edible or not.

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Data Mining Project

Running on:

  • Windows 11

  • Python 3.11.4 or higher

How to run

Install from git:

Using GitFlic:

$ git clone https://gitflic.ru/project/abstract-333/data-mining.git

$ cd data-mining

Create and activate virutal environment:

$ python -m venv .venv

$ .\.venv\Scripts\activate

Install dependencies:

$ pip install -r requirements.txt

Run App:

$ uvicorn src.app:app --reload

Datasets:

Apriori:

Groceries purchase dataset used, around 9836 rows and 171 columns (features).

K-NN:

Mushroom dataset, around 54036 rows and 9 columns(features).

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Implement Apriori algorithm on store dateset in order to extract association rules, and K-NN algorithm on mushroom dateset to classify that mushroom is edible or not.

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