ElhosseiniAcademy
Welcome to the official channel of Prof. Mostafa Elhosseini — Professor of Smart Systems Engineering | IEEE Senior Member | Author of 100+ top-tier journal papers in AI, Bioengineering, Electronics, and Smart Systems.
This channel is your gateway to deep, bilingual (Arabic-English) tutorials and research insights in:
🤖 AI & Machine Learning
💻 Computer Architecture & Programming
🚁 Drones for Smart Cities & Disability Support
📊 Statistics & Data Science
♿ Research in Assistive Technologies
🧠 Bioinspired Optimization
🌐 Digital Twins & System Design
I'm also a:
🎓 Udemy Instructor
📚 Topic Editor at Frontiers
🧬 Guest Editor (Bioengineering & Electronics, MDPI)
Whether you're a student, researcher, or tech enthusiast, you’ll find advanced topics simplified, real-world research explained, and tools to grow your knowledge.
✅ Subscribe to Learn Smart. Think Deep. Research Big.
#ProfElhosseiniSmartSysEng
📊 When Technology Computes, You Interpret
📊 From Sample to Significance
📊 What Is Statistics? | Real-World Applications & Key Concepts Explained
📊 Types of Data Explained: Why It Matters in Statistics
📊 Frequency Table: Proportion, Percentage & Summary Stats
📊 Regression: From Data Points to Real-World Predictions
📊 Scatter Plots & Correlation | فهم العلاقات بين المتغيرات الكمية
📊 Understanding Kurtosis in Data Analysis 📈
📊 Symmetry, Skewness, and Statistical Measures 📈
Lecture 05: What Kinds of Patterns Can Be Mined? 🔍📊
Lecture 04: What Kinds of Data Can Be Mined? 🔍 | Exploring Databases, Data Warehouses & More
Lecture 03: Knowledge Discovery Process 🚀 | KDD in Action
Lecture 02: Market Basket Analysis - Example | Data Mining & Data Warehouse
Lecture 01: Introduction 🚀 | Data Mining & Data Warehouse
Lecture 83: 🚀 Mastering AdaBoost: A Deep Dive into Boosting with Handy Examples | Ensemble Learning
Lecture 82: Random Forests: Extra Trees, and Feature Importance Explained! 🌳📧 | Ensemble Learning
Lecture 81: Out-of-Bag Evaluation & Random Patches | Ensemble Learning
Lecture 80: Bagging & Pasting 🤝✨ | Ensemble Learning
Lecture 79: Hard Voting & Soft Voting | Ensemble Learning
Lecture 78: 🎓 Predicting Graduate Admissions with Decision Trees! 📈
Lecture 77: 🌳 Decision Trees for Regression Explained with Hands-On Example! 📊
Lecture 76: How to Split a Decision Tree Based on Continuous Features 🌳📊
Lecture 75: How to Prevent Decision Trees from Overfitting 🌳🚫
Lecture 74: Demystifying Entropy in Decision Trees 🔥🌳
Lecture 73: Mastering the Gini Impurity Index 🎯📊
Lecture 72: DT vs. Random Forest – Understanding the White Box Model 🌳
Lecture 71: 📚 Decision Tree Part 01 - Introduction 🌳
Lecture 70: Radial Basis Function (RBF) - Continued | SVM
Lecture 69: Radial Basis Function (RBF) | SVM
Lecture 67: 🚀 Kernel Trick