Technical Test: NLP Category Correction 📊🔍

Overview

This repository contains a Jupyter Notebook for a technical test focusing on NLP (Natural Language Processing) and data manipulation, specifically tailored for e-commerce data analysis.

Features

• Data Preprocessing 🔄: Importing libraries, reading data, renaming columns, and date conversion.
• Dimension & Color Extraction 📏🎨: Functions to extract dimensions and colors from product descriptions.
• Categorization Correction 🏷️: Algorithms to check and correct product categorization.
• Data Analysis 📈: Visualization and statistics of the processed data.

Getting Started 🚀

Follow these steps to run the notebook locally:

1. Clone the Repository

   git clone https://github.com/labrijisaad/Technical-Test-NLP-Category-Correction.git

2. Set Up the Environment

   • Run make setup to create a virtual environment and install dependencies.

3. Launch Jupyter Lab

   • Execute make jupyter to activate the virtual environment and start Jupyter Lab.

4. Navigate to the Notebook

   • Open the /notebooks directory and run the Jupyter Notebook to explore the data.

Contributions 🤝

Your contributions are welcome! Check out the issues page.

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