Source: ["The Complete Machine Learning Roadmap [2024]" by Programming with Mosh, Youtube]
Course Overview:
Welcome to Machine Learning - Full Course!
This course explores the core principles of machine learning, including the differences between supervised and unsupervised learning. It delves into key methods like regression and classification, and introduces decision trees and ensemble learning techniques. It also covers important performance metrics used to evaluate machine learning models.
Chapter 6: Foundations of Machine Learning
Source: ["Machine Learning Foundations: Ep #1 - What is ML?" by Google for Developers, Youtube]
Exercise: - Watch this video and make some notes. Once done, go to the next chapter, Regression and Classification Techniques.
Chapter 7: Regression and Classification Techniques
Source: ["Linear Regression vs Logistic Regression | Machine learning Algorithms Explained | Simplilearn" by Simplilearn, Youtube]
Exercise: - Watch this video and make some notes. Once done, go to the next chapter, Decision Trees and Ensemble Learning.
Chapter 8: Decision Trees and Ensemble Learning
Source: ["Decision Tree In Machine Learning | Decision Tree Algorithm In Python |Machine Learning |Simplilearn" by Simplilearn, Youtube]
Exercise: 1. Watch this video and make some notes;
2. The next stage is an exam. You have 10 questions, with a total time of 10 minutes. To pass, you need to get 8 out of 10. You can retake it. Once you pass, you will have 1 minute to redeem your certificate by entering your full name correctly!
Exam (Redeem Certificate)
Results
Your score:
Summary
Now you can post your certificate on LinkedIn. You can also explore and learn next AI chapters, other programming languages from Skill-Based Roadmaps or choose a career path from Role-Based Roadmaps.