nebiyuu/Amharic-E-commerce-Data-Extractor

# Amharic-E-commerce-Data-Extractor This project provides tools and scripts for extracting, cleaning, and analyzing Amharic e-commerce data, particularly from Telegram channels. ## Project Structure - `data/` Contains raw and processed datasets. - `notebook/` Jupyter notebooks for exploratory data analysis and labeling. - `scripts/` (Reserved for Python scripts and utilities.) - `.github/workflows/` GitHub Actions workflows for CI/CD. ## Notebooks - `notebook/EDA_DATA.ipynb`: Exploratory data analysis and cleaning. - `notebook/labling.ipynb`: Data labeling workflow. ## Requirements Install dependencies with: ```pip install -r requirements.txt``` ## Usage 1. Place your raw Telegram data in `data/telegram_data.csv`. 2. Run the notebooks in `notebook/` for data cleaning and analysis. 3. Cleaned data will be saved to `data/telegram_data_cleaned.csv`. ## Output - Cleaned and processed data is stored in `data/Processed/`. ## Modeling Created 3 models - ## License MIT License .