Data-Mining Techniques Assignment

This is a project created for the university course Data-Mining Techniques. It involves an analysis of e-commerce data using the Amazon Product Dataset. The project is divided into two main parts:

1. Data exploration and feature engineering
2. Machine learning tasks including clustering, classification, recommendation systems, and sentiment analysis

The members of this assignment are listed in the following table:

Ονοματεπώνυμο	Αριθμός Μητρώου	Email
Ζήκας Αντώνιος	1115202100038	sdi2100038@di.uoa.gr
Κώτσιλας Σταύρος	1115201700292	sdi1700292@di.uoa.gr

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Getting Started

Download the Repository

To download the repository, run the following command in your terminal:

git clone https://github.com/AntonisZks/Data-Mining.git

Then navigate into the project directory:

cd Data-Mining

Installing Packages and Dependencies To run the project locally, you’ll need to install a few Python libraries. All required dependencies are listed in requirements.txt. Install them by running:

pip install -r requirements.txt

Important

It is highly recommended to use a virtual environment to manage dependencies. You can create and activate one as follows:

python3 -m venv <venv-name>

Activate the environment using the following commands

• If you are on Windows run:

venv\Scripts\activate

• If you are on Linux or MacOS:

 source venv/bin/activate

Once the virtual environment is activated, install the requirements with:

pip install -r requirements.txt

Finally select the corresponding kernel and run the code.