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https://github.com/thecrazymage/mentorship
π§ Resources and exercises from my machine learning mentorship sessions, covering essential tools and concepts.
https://github.com/thecrazymage/mentorship
deep-learning machine-learning
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π§ Resources and exercises from my machine learning mentorship sessions, covering essential tools and concepts.
- Host: GitHub
- URL: https://github.com/thecrazymage/mentorship
- Owner: thecrazymage
- License: mit
- Created: 2024-09-09T20:00:05.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2024-11-04T22:20:11.000Z (12 days ago)
- Last Synced: 2024-11-04T23:23:03.781Z (12 days ago)
- Topics: deep-learning, machine-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 13.4 MB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# π§ My Mentorship Materials
Welcome to the repository where I share the materials I prepare for my mentorship sessions. I believe that knowledge should be accessible to everyone, so I'm making these resources available to the community. Whether you're a beginner in machine learning or looking to deepen your understanding, I hope you'll find these materials useful!
## π« About This Repository
My goal is to introduce my mentee to various areas of machine learning and the tools commonly used in the field. While these materials are tailored for our sessions, they are designed to be beneficial for anyone interested in machine learning and tools used for it.
## π What You'll Find Here
In this repository, youβll find:
- **Presentations:** Slides and notes from our lessons covering various topics in machine learning.
- **Code Examples:** Hands-on examples and code snippets that illustrate key concepts.
- **Additional Resources:** Links to articles, papers, and other resources that complement the materials.
- **Assignments:** Exercises and projects to practice what youβve learned.Directory Structure:
- In "Lesson_{i}" folders, you'll find ready-to-use lesson materials for each session.
- The ["src"](./src/) folder contains supplementary materials (e.g., .key files of presentations).## π Lesson Overview
### Lesson 1: Introduction to GitHub and Project Structure
- [Materials](./Lesson_1/)
### Lesson 2: LaTeX and Resume
- [Materials](./Lesson_2/)
### Lesson 3: Career Exploration in Machine Learning
- [Materials](./Lesson_3/)
### Lesson 4: Pandas
- [Materials](./Lesson_4/)
### Lesson 5: Matplotlib and Seaborn
- [Materials](./Lesson_5/)
### Lesson 6: Numpy
- [Materials](./Lesson_6/)
### Lesson 7: Discussion of current affairs
### Lesson 8: Pytorch
- [Materials](./Lesson_8/)*(Additional lessons will be added here as they are published.)*
## β Contributions and Feedback
If you find these materials helpful, please consider giving the repository a star β! Itβs a small gesture, but it provides great motivation for me to continue creating and sharing content.
Iβm also open to feedback and suggestions. If you have any thoughts on how the materials could be improved or if you spot any errors, please open an issue or reach out directly:
- **Email:** [email protected]
- **GitHub:** [Mishan Aliev](https://github.com/thecrazymage)## π License
This repository is licensed under the [MIT License](./LICENSE).