Math for Machine Learning and Data Science

This repository was created to document and practice the knowledge acquired in the Math for Machine Learning and Data Science course (DeepLearning.AI / Coursera).

The course covers essential topics such as linear algebra, calculus, probability, and statistics, with a focus on their practical application in real-world AI problems.

Quickstart

Follow these steps to set up the project:

1. Create and activate a Python virtual environment

python3 -m venv venv
source venv/bin/activate   # On Linux or macOS
# venv\Scripts\activate    # On Windows

2. Install dependencies

pip install -r requirements.txt

3. Run the project

python -m src.nn

Make sure you are in the project's root directory when running the command.

4. Run tests

To execute all unit tests, simply run:

pytest

This will automatically discover and run all test files inside the tests/ folder.