Welcome to the DeepLearning.AI Companion project! This repository contains comprehensive notes and reviews for various courses offered by DeepLearning.AI. The notes are written in Markdown and are compiled into a static website using MkDocs with the Material theme.
The goal of this project is to provide detailed reviews and notes for several DeepLearning.AI courses. The website includes:
- Detailed course notes
- Course reviews
- Learning paths with flowcharts
- Tagging system for easy navigation
Explore comprehensive notes and reviews for each course, covering key concepts, practical applications, and major takeaways.
Personal reviews of the courses, highlighting their strengths, weaknesses, and target audience.
Discover the best sequence of courses to take based on your interests and goals. Use our interactive flowcharts to navigate through different learning paths.
Filter courses by topic using our tagging system. Find the content most relevant to your needs quickly and efficiently.
To run this project locally, follow these steps:
-
Clone the repository:
git clone https://github.com/sshkhr/dlai-companion.git cd dlai-companion -
Create and activate a Python virtual environment:
python -m venv venv source venv/bin/activate # On Windows use `venv\Scripts\activate`
-
Install MkDocs and dependencies:
pip install mkdocs-material[imaging] mkdocs-tags-plugin
-
Run the MkDocs server:
mkdocs serve
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Open your browser and navigate to
http://127.0.0.1:8000to see the site locally.
Contributions are welcome! Please fork this repository and open a pull request to suggest improvements or additions.
This project is licensed under the MIT License.
If you have any questions, suggestions, or feedback, feel free to reach out:
Happy Learning!