Welcome to the Flagship Projects Hub for Data Science! This repository serves as a centralized hub for various flagship projects related to Data Science. Explore and contribute to cutting-edge projects that showcase the latest advancements in the field.

• Introduction
• Project List
• Contributing
• License

Data Science is a rapidly evolving field with numerous innovative projects pushing the boundaries of what's possible. This repository aims to bring together a collection of flagship projects that demonstrate the diverse applications and capabilities of Data Science.

Explore the curated list of flagship projects below:

1. Face-mask-detector using RetinaNet-model: Detects the presence of face masks in images using a Keras-RetinaNet deep learning model.

2. Build a WhatsApp-chatbot using Nodejs: Develop a chatbot for WhatsApp using Node.js, enhancing communication and interaction.

3. LLMs-Projects (Basics to Advanced): A collection of projects ranging from basic to advanced levels, showcasing a variety of skills and concepts in the field of LLMs (Large Language Models).

4. Implementation of Market Mix Model Using Robyn: Utilizes Robyn to implement a Market Mix Model, analyzing and optimizing marketing strategies.

5. Implementation of Market Mix Model Using XgBoost: Utilizes XgBoost to implement a Market Mix Model, analyzing and optimizing marketing strategies.

6. Build Loan-Approval-Classifier using Non-Linear Models: Build a Loan Approval Classifier model using SOTA Ensemble Regression Models, and statistical tests.

7. Deploy Loan-Approval-Classifier on Azure cloud: Implements a machine learning model for loan approval classification and deploys it on the Azure cloud platform.

8. Images' web-scraping-using-Selenium-Python: Scrapes images from the web using Selenium and Python, facilitating data collection for various applications.

9. ANOVA-Test COVID-19 Case Study: Conducts an Analysis of Variance (ANOVA) test as a case study to explore statistical differences in COVID-19 data, providing valuable insights. ...

Feel free to add your own projects or suggest new ones by submitting a pull request.

We welcome contributions! If you have a flagship Data Science project that you would like to add to this repository, follow these steps:

1. Fork the repository.
2. Clone the forked repository to your local machine.
3. Add your project to the README.md file in the "Project List" section.
4. Commit your changes and push them to your fork.
5. Submit a pull request to the main repository.

Please make sure to provide a clear and concise description of your project, along with a link to the GitHub repository.

This repository is licensed under the MIT License, so feel free to use, modify, and distribute the contents.

Happy exploring and contributing to the world of Data Science!

I’m a seasoned Data Scientist and founder of TowardsMachineLearning.Org. I've worked on various Machine Learning, NLP, and cutting-edge deep learning frameworks to solve numerous business problems.