AI Master Class Python Exercises

Welcome to the AI Master Class Python Exercises repository! This repository contains Python exercises and solutions from the AI master class. Whether you're a beginner looking to learn Python programming or an experienced developer aiming to enhance your AI skills, these exercises will help you reinforce your understanding and practice your coding skills.

Getting Started

To get started with the Python exercises, follow these steps:

1. Clone the repository to your local machine:

   git clone https://github.com/ghiati/Phython_M1-AI-.git

2. Navigate to the directory containing the exercises:

   cd Phython_M1-AI-

3. Choose a week folder and open it to access the exercise files and instructions.

4. Read the exercise instructions provided in the README or Python file.

5. Complete the exercise by writing your Python code in the designated file.

6. Test your code to ensure it produces the expected output.

7. Check the provided solution (if available) to compare with your implementation and learn from it.

8. Repeat steps 3-7 for each exercise in the repository.

Project Structure

The project follows the following structure:

ai-master-class-python-exercises/
│
├── week1/                    # Directory containing Week 1 exercises
│   ├── exercise1.py          # Python file for Exercise 1
│   ├── exercise2.py          # Python file for Exercise 2
│   ├── exercise3.py          # Python file for Exercise 3
│   ├── exercise4.py          # Python file for Exercise 4
│   ├── exercise5.py          # Python file for Exercise 5
│   └── README.md             # README file with exercise instructions for Week 1
├── week2/                    # Directory containing Week 2 exercises
│   ├── exercise1.py          # Python file for Exercise 1
│   ├── exercise2.py          # Python file for Exercise 2
│   ├── exercise3.py          # Python file for Exercise 3
│   └── README.md             # README file with exercise instructions for Week 2
└── week3/                    # Directory containing Week 3 exercises
    ├── exercise1.py          # Python file for Exercise 1
    ├── exercise2.py          # Python file for Exercise 2
    ├── exercise3.py          # Python file for Exercise 3
    └── README.md             # README file with exercise instructions for Week 3

Contributing

Contributions are welcome! If you have additional exercises or improvements to existing ones, feel free to submit a pull request or open an issue to discuss your ideas. week 4 and 5 coming soon :)