Data Science Essentials

A comprehensive data science project focusing on data analysis and machine learning.

Version

Current Version: 0.1.0

Project Structure

data-science-essentials/
├── data/               # Datasets
│   ├── raw/           # Raw data
│   ├── processed/     # Processed data
│   └── models/        # Saved models
├── docs/              # Documentation
├── src/               # Source code
│   ├── data/         # Data processing
│   ├── features/     # Feature engineering
│   ├── models/       # Model development
│   └── visualization/# Visualization
├── tests/             # Tests
├── notebooks/         # Jupyter Notebooks
├── requirements.txt   # Python dependencies
├── README.md         # Project description
└── CHANGELOG.md      # Version history

Features

• Data loading and processing
• Feature engineering
• Model development
• Visualization
• Automated testing
• Documentation

Installation

1. Clone the repository:

git clone https://github.com/yourusername/data-science-essentials.git
cd data-science-essentials

2. Create a virtual environment:

python -m venv .venv
source .venv/bin/activate  # Linux/Mac
# or
.venv\Scripts\activate     # Windows

3. Install dependencies:

pip install -r requirements.txt

Usage

1. Activate the virtual environment
2. Run desired scripts from the src directory
3. For interactive analysis, open Jupyter Notebooks in the notebooks directory

Development

• Use git for version control
• Create new features in separate branches
• Run tests before committing
• Document changes in CHANGELOG.md

License

This project is licensed under the MIT License.