| ★ | 7 - Fundamentals of Machine Learning - How to evaluate ML? Testing ML? ML Performance Measures | Emre KOCYIGIT @emre_kocyigit | 45 | Luxemburgo | |
| 10 | ML Course For Beginners 2026 | Machine Learning Tutorial | Machine Learning Roadmap | Edureka | | — | India | 86 |
| 16 | Learn Machine Learning And Deep Learning Basics #shorts #ai #ml #llm #deeplearning #coding #learn | | — | India | 85 |
| 18 | Machine Learning Full Course From Scratch 2026 | Intellipaat | | — | India | 85 |
| 20 | Machine Learning AI And Java For Beginners #shorts #ai #machinelearning #java #coding #learning | | — | India | 85 |
| 9 | Master Machine Learning: Your Ultimate Roadmap from Basics to Advanced! | | 1.1K | Kenia | 86 |
| 2 | 16 - End-to-End Machine Learning Project - Phishing Detection - Building ML Models, Confusion Matrix | Emre KOCYIGIT @emre_kocyigit | 165 | Luxemburgo | 88 |
| 15 | Lecture 1.13 | Bayesian network | Bayesian Learning | Machine learning techniques #mlt #ml #bayesian | Tech Master Edu @techmasteredu | 153 | India | 86 |
| 5 | Why AI Models Fear Cross Entropy Loss | THE FACT FACTORY @thefactfactoryf | 114 | — | 87 |
| 11 | The Core Components of a Machine Learning System (5 Minutes) | BioTech Whisperer @biotechwhisperer | 76 | Estados Unidos | 86 |
| 13 | 4 - Fundamentals of Machine Learning - ML application examples | Emre KOCYIGIT @emre_kocyigit | 60 | Luxemburgo | 86 |
| 14 | 111 Machine Learning Interview Questions & Answers! 💡 | | 49 | — | 86 |
| 7 | 6 - Fundamentals of Machine Learning - ML Challenges and Possible Solutions | Emre KOCYIGIT @emre_kocyigit | 47 | Luxemburgo | 86 |
| 3 | Machine Learning: Linear Regression | How to evaluate the model, error metrics with examples | Emre KOCYIGIT @emre_kocyigit | 42 | Luxemburgo | 88 |
| 19 | 5 - Fundamentals of Machine Learning - ML Types - Supervised, Unsupervised, Online Learning etc. | Emre KOCYIGIT @emre_kocyigit | 40 | Luxemburgo | 85 |
| 8 | Cross-Entropy Loss Explained: The Complete Guide for Machine Learning | THE FACT FACTORY @thefactfactoryf | 37 | — | 86 |
| 12 | Top 3 Tips to make a dataset for ML | | 34 | — | 86 |
| 4 | 17 - End-to-End Machine Learning Project - Phishing Detection - ML Models, K-fold cross validation | Emre KOCYIGIT @emre_kocyigit | 32 | Luxemburgo | 87 |
| 17 | Deep Learning - Question 1 - What are the differences and similarities between DL and ML? | Emre KOCYIGIT @emre_kocyigit | 26 | Luxemburgo | 85 |
| 6 | 3 - Fundamentals of Machine Learning - Difference of ML? When ML? Why popular and successful? | Emre KOCYIGIT @emre_kocyigit | 18 | Luxemburgo | 86 |
| 1 | Confusion Matrix in Machine Learning Explained! | 머니렙아크 MoneyRepArc @머니렙아크moneyreparc | 0 | Corea del Sur | 92 |