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https://github.com/ehtisham-sadiq/ai-pioneers-datascience-arena

This repository is dedicated to the AI Amigos team's participation in the Artificial Intelligence (AI) competition with a focus on Data Science.
https://github.com/ehtisham-sadiq/ai-pioneers-datascience-arena

artificial-intelligence competition data-analysis data-science data-visualization machine-learning model-building model-evaluation numpy pandas python3 supervised-learning unsupervised-learning

Last synced: about 2 months ago
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This repository is dedicated to the AI Amigos team's participation in the Artificial Intelligence (AI) competition with a focus on Data Science.

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README 

        
# AI Pioneers DataScience Arena



Welcome to the **AI Pioneers DataScience Arena** repository! This repository is dedicated to the **AI Amigos** team's participation in the **Artificial Intelligence (AI) competition** with a focus on Data Science.






# About the Competition



The **AI Pioneers DataScience Arena** repository is created by the **AI Amigos** team to store their preparation materials for the upcoming AI competition. The competition is focused on utilizing data science techniques and algorithms to solve real-world problems, and the team is excited to participate and showcase their skills in the field of AI and Data Science.



## Repository Contents

The repository contains the following files and directories:



- **/datasets:** This directory contains the practice datasets provided/available for the competition.



- **/notebooks:** This directory contains Jupyter notebooks where the team members can write and test their data science algorithms and models.



- **/scripts:** This directory contains scripts that the team may use for data preprocessing, feature engineering, or other data-related tasks.



- **/docs:** This directory contains documentation, guides, or any other relevant materials that the team creates to keep track of their progress and findings.



- **/resources:** This directory contains additional resources, such as research papers, articles, or tutorials, that the team finds useful during their preparation.



- **README.md:** This file you are currently reading, which provides an overview of the repository and its contents.



# Team Members

The **AI Amigos** team consists of the following members:



- **Ehtisham Sadiq**

- **Sania Mohiu ud Din**

- **Zunaira Sajjad**



# How to Use the Repository



The team will use this repository to collaborate and store their preparation materials for the AI competition. Here are the steps to get started:



- Clone the repository to your local machine using `git clone` command.

- Explore the contents of the repository, including the datasets, notebooks, scripts, and other directories.

- Create your own branches for working on specific tasks or features, and make sure to regularly push your changes to the repository.

- Collaborate with your team members by discussing and reviewing each other's work through pull requests and issues.

- Keep the repository organized and clean by following the established file structure and documentation guidelines.

- Update the **README.md** file with relevant information as the project progresses, including updates on tasks completed, findings, and results.



# Contribution Guidelines



To contribute to this repository, please follow these guidelines:



- Create a new branch for each specific task or feature.

- Make sure your code is well-documented and follows the team's coding conventions.

- Test your code thoroughly before pushing to the repository.

- Create pull requests for code review and get feedback from team members.

- Resolve any conflicts or issues in a timely manner.

- Avoid pushing directly to the main branch, and instead, use pull requests for merging changes.



# Contact Information

If you have any questions or need further information, please contact the team lead or any of the team members through the following channels:



- **Email:** [email protected]



# License

- This repository is open source and is governed by the **[MIT License]()**. Please review the license file for more information on the terms and conditions of using and contributing to this repository.