Welcome to the AI-ML Internship Daily Tasks Repository. This repository serves as a comprehensive record of my accomplishments throughout the AI-ML internship with IBM. It gathered all tasks, their corresponding code, and detailed explanations in a well-structured manner.
- Internship Details
- Repository Structure
- Technologies Used
- Getting Started
- Project Structure
- Contributing
- Certifications
- License
- Contact
- Internship Program - Artificial Intelligence & Machine Learning
- Company/Organization - IBM
- Internship Period - 5 Months
This repository is organized by daily task. Each task has its own dedicated directory containing the source code and an optional README.md file for further explanations.
- Backend: Python, TensorFlow, PyTorch
- Frontend: Streamlit, Flask with Jinja2, TensorFlow.js, Dash by Plotly
- Database: MySQL, redis
- Code Editor: Jupyter Notebook, Google Colab, VS Code etc
- Self-paced Content
- Python 3.11.4 or higher
- streamlit and pip
- MySQL
-
Clone the repository:
git clone https://github.com/mohitmaurya2023/AI-ML-Intern-Daily-Task.git cd AI-ML-Intern-Daily-Task -
Install dependencies and start the application:
pip install -r requirements.txt streamlit run app.py
Thank you for considering contributing to this project! Here are a few guidelines to get started:
- Fork the repository.
- Create a new branch for your feature or bugfix.
- Make your changes.
- Test your changes thoroughly.
- Submit a pull request.
If you find a bug or have a feature request, please create an issue on GitHub.
Thank you for your contributions!
If you have any questions or suggestions, feel free to reach out to me at mohitsscs1980@gmail.com
Let's Start Coding!
As my progress through the internship program, diligently add my completed tasks to this repository for easy reference and showcasing my progress.
Happy Coding!