https://github.com/sshkhr/dlai-companion
Course notes and reviews for deeplearning.ai courses
https://github.com/sshkhr/dlai-companion
Last synced: about 2 months ago
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Course notes and reviews for deeplearning.ai courses
- Host: GitHub
- URL: https://github.com/sshkhr/dlai-companion
- Owner: sshkhr
- Created: 2024-05-20T02:47:48.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2024-05-22T15:42:18.000Z (12 months ago)
- Last Synced: 2024-05-22T16:54:19.177Z (12 months ago)
- Homepage: http://dlai-companion.shashankshekhar.com
- Size: 911 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# DeepLearning.AI Companion
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.
## Project Overview
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
## Features
### [Course Notes](docs/notes)
Explore comprehensive notes and reviews for each course, covering key concepts, practical applications, and major takeaways.
### [Course Reviews](docs/reviews)
Personal reviews of the courses, highlighting their strengths, weaknesses, and target audience.
### [Learning Paths](docs/learning_paths)
Discover the best sequence of courses to take based on your interests and goals. Use our interactive flowcharts to navigate through different learning paths.
### [Tags](docs/tags.md)
Filter courses by topic using our tagging system. Find the content most relevant to your needs quickly and efficiently.
## Installation
To run this project locally, follow these steps:
1. **Clone the repository**:
```bash
git clone https://github.com/sshkhr/dlai-companion.git
cd dlai-companion
```
2. **Create and activate a Python virtual environment**:
```bash
python -m venv venv
source venv/bin/activate # On Windows use `venv\Scripts\activate`
```
3. **Install MkDocs and dependencies**:
```bash
pip install mkdocs-material[imaging] mkdocs-tags-plugin
```
4. **Run the MkDocs server**:
```bash
mkdocs serve
```
5. **Open your browser** and navigate to `http://127.0.0.1:8000` to see the site locally.
## Contributing
Contributions are welcome! Please fork this repository and open a pull request to suggest improvements or additions.
## License
This project is licensed under the MIT License.
## Contact
If you have any questions, suggestions, or feedback, feel free to reach out:
Happy Learning!