Home

Wiki Structure:

Welcome to the G00dlife-datascience wiki!

1. Home
2. Introduction
3. Getting Started
4. Project Roadmap
5. Notebooks and Sample Projects
6. Datasets
7. Contributing
8. FAQ
9. Release Notes
10. Security

Content for Each Section:

1. Home

This wiki is the central hub for all documentation related to the G00dlife-datascience project. Here you will find information on how to get started, our project roadmap, detailed guides for our notebooks and sample projects, and much more.

Feel free to explore and contribute!

2. Introduction

# Introduction

Welcome to the G00dlife-datascience project! This repository is designed to guide you through various stages of a typical data science project. It covers fundamental concepts such as data exploration, cleaning, feature engineering, model building, evaluation, and deployment. Each section is accompanied by Jupyter notebooks that provide hands-on examples and exercises.

Whether you are a beginner or an experienced data scientist, this project aims to provide a structured and hands-on approach to learning and applying data science.

3. Getting Started

# Getting Started

## Prerequisites

Ensure you have the following prerequisites installed:
- Python (version 3.12)
- Jupyter Notebooks
- Pandas
- NumPy
- Matplotlib
- Scikit-learn

## Installation

1. Clone the repository to your local machine:
   ```bash
   git clone https://github.com/swalehmwadime/DS1.git
   cd data-science-project

2. Install the required dependencies:

   pip install -r requirements.txt

3. Start Jupyter Notebook:

   jupyter notebook

#### 4. Project Roadmap
```markdown
# Project Roadmap

## Current Status
- Version 1.1.0 released: Initial release with foundational notebooks and documentation on python essentials.

## Future Plans
- **Version 1.1.1:** Introduction to mathematics, probability, and statistics for data science.
- **Version 1.1.2:** Deep dive into machine learning algorithms.
- **Version 1.1.3:**  Exploring advanced topics in artificial intelligence.
- **Version 1.1.4:** Integrating deep learning models..
- **Version 1.1.5:**  Comprehensive tutorials on model deployment.
- **Version 1.1.5:**  Full-fledged end-to-end projects with detailed documentation


Stay tuned for updates and new features!

5. Notebooks and Sample Projects

# Notebooks and Sample Projects

## Machine Learning Algorithms

- [Random Forest](link-to-notebook)
- [Logistic Regression](link-to-notebook)
- [Ridge, Lasso, and Elastic Net](link-to-notebook)
- [Naive Bayes](link-to-notebook)
- [Decision Tree](link-to-notebook)
- [Convolutional Neural Networks](link-to-notebook)
- [Artificial Neural Networks](link-to-notebook)

Each notebook contains detailed explanations and practical examples to help you understand and implement these algorithms.

6. Datasets

# Datasets

This section provides links and descriptions for datasets used in the project.

## Available Datasets

- **Dataset 1:** Description and [download link](link-to-dataset)
- **Dataset 2:** Description and [download link](link-to-dataset)
- **Dataset 3:** Description and [download link](link-to-dataset)

Please ensure to check the data licensing and usage rights before using any dataset.

7. Contributing

# Contributing

We welcome contributions! Here’s how you can help:

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes and commit them.
4. Push your changes to your fork.
5. Open a pull request to the main repository.

Please refer to our [CONTRIBUTING.md](https://github.com/swalehmwadime/G00dlife-datascience/blob/main/Contributing.md) for more details.

8. FAQ

# FAQ

## Common Questions

**Q1:** How do I get started with this project?
**A1:** Please refer to the [Getting Started](link-to-getting-started) section.

**Q2:** What datasets are used in this project?
**A2:** Check the [Datasets](link-to-datasets) section for details.

**Q3:** How can I contribute to this project?
**A3:** Refer to the [Contributing](https://github.com/swalehmwadime/G00dlife-datascience/blob/main/Contributing.md) section for guidelines.

Feel free to open an issue if you have any other questions!

9. Release Notes

# Release Notes

## v1.1.0

- Initial release with foundational notebooks and sample projects.

## v1.1.1 (Upcoming)

- Introduction to mathematics, probability, and statistics for data science.
For detailed release history, please refer to the [Releases](https://github.com/swalehmwadime/G00dlife-datascience/releases) page.

10. Security

# Security

## Security Policy

We take the security of our project seriously. If you discover a security vulnerability, please report it as described in our [SECURITY.md](https://github.com/swalehmwadime/G00dlife-datascience/blob/main/SECURITY.md).

### Supported Versions

| Version | Supported          |
| ------- | ------------------ |
| 1.1.0   | :white_check_mark: |
| 1.0.x   | :x:                |
| 0.9.x   | :x:                |
| < 0.9   | :x:                |