Welcome to my AI Learning Journey repository! This repo serves as a journal and resource center where I'm sharing my progress, notes, code examples, and insights as I dive into the world of Artificial Intelligence.
This repository documents my progress through various AI learning sessions. Here, you'll find my notes, projects, and hands-on code snippets that cover topics like machine learning, neural networks, data processing, and more. My goal is to both understand the foundations and explore practical applications in AI.
As I progress, I'll be exploring and updating content on topics including:
- Introduction to AI and Machine Learning
- Supervised and Unsupervised Learning
- Neural Networks and Deep Learning
- Data Processing and Feature Engineering
- Model Evaluation and Optimization
- And more as I advance!
Here's a quick breakdown of the folder structure in this repository:
/notes: My session notes, summaries, and resources./projects: AI projects and practical exercises./code: Scripts and code examples to support learning concepts./resources: Recommended readings, datasets, and useful tools.
| Module | Status |
|---|---|
| Introduction to AI | Completed |
| Supervised Learning | In Progress |
| Neural Networks | Upcoming |
| Data Processing | Not Started |
- Learning Reference: Feel free to use this repository as a reference for AI basics and project ideas.
- Contributions: If you have tips or resources, feel free to open a pull request or submit an issue.
As I continue, I plan to:
- Add more complex AI projects.
- Experiment with new models and techniques.
- Document the challenges and solutions I encounter.
If you're also learning AI or have any questions, feel free to reach out or connect!
Thanks for stopping by, and stay tuned for updates as I continue my journey!