Machine Learning 1 - Lab Repository

Welcome to the Machine Learning 1 lab repository! Each week, new folders containing the corresponding lab files will be uploaded. Please follow the setup instructions below to ensure a smooth experience with the lab exercises.

🛠 Environment Setup

We highly recommend creating a dedicated virtual environment to work on this lab. This will help avoid conflicts with other packages on your system and make it easier to manage dependencies as the course progresses.

Instructions:

1. Create a virtual environment using tools like conda.
2. Create a new conda enviroment with the following comand conda env create --file=environment.yml.
3. Note: New dependencies may be introduced in future labs, so check the requirements before each session.

📂 Repository Structure

Each week, a new folder with the corresponding lab files will be added. Make sure to pull the latest changes regularly to stay up to date with the lab materials.

❓ Need Help?

If you encounter any issues or bugs during implementation, feel free to contact the lab's TA for assistance.

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Thank you for your participation, and happy coding!