Welcome to AI Knowledge Hub — a curated collection of comprehensive articles and practical guides on machine learning, data analysis, and visualization. This repository compiles my key contributions shared across Kaggle Discussions, GitHub, LinkedIn, and Medium, crafted for learners and practitioners at all skill levels.
This repository aims to simplify complex AI and data science concepts into clear, actionable insights. Whether you’re just starting or deepening your expertise, these structured resources support your journey to mastering machine learning fundamentals and advanced topics.
| Title | Topic | Kaggle Discussion | GitHub Discussion | LinkedIn Article | Medium Article |
|---|---|---|---|---|---|
| Neural Network Architectures in Deep Learning | Deep Learning | Kaggle | GitHub | Medium | |
| A Professional Guide to Reinforcement Learning Models in Machine Learning | Reinforcement Learning | Kaggle | GitHub | Medium | |
| Unsupervised Learning Models: A Structured and Practical Reference | Unsupervised Learning | Kaggle | GitHub | Medium | |
| A Comprehensive Guide to Supervised Learning Models in Machine Learning | Supervised Learning | Kaggle | GitHub | Medium | |
| Overview of Machine Learning Models | General Overview | Kaggle | GitHub | — | Medium |
| Essential Visualizations in Data Analysis | Data Visualization | Kaggle | GitHub | Medium | |
| The Importance of Heatmaps in ML | Data Visualization | Kaggle | GitHub | Medium | |
| Why Data Analysis is Important | Getting Started | Kaggle | GitHub | — | — |
Moustafa Mohamed
AI & ML Enthusiast | Data Science Practitioner | LLM Engineering Explorer
I am passionate about creating clear, accessible AI and data science resources that bridge the gap between theory and practice for learners worldwide.
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This project is licensed under the MIT License — see the LICENSE file for details.