Machine Learning, Clearly Explained
Demystify ML algorithms with StatQuest's visual approach.
13h 49m
On-demand video
63
Lessons
Included
Certificate
Mobile & TV
Watch anywhere

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This course includes:
- 13h 49m on-demand video (free)
- 63 lessons
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
What you'll learn
- Understand regression, trees, and SVMs
- Grasp bias-variance and cross-validation
- Know how popular ML models really work
- Choose the right algorithm for a problem
Official study guide
The complete 84-page companion book for Machine Learning, Clearly Explained, covering every module with worked examples, key terms, self-check questions, and a full glossary. Print it or read it offline.
Tools & technologies
Industry-standard tools you'll work with in this course.
Course content
10 sections · 63 lessons · 13h 49m- A Gentle Introduction to Machine LearningPreview12m
- Machine Learning Fundamentals: Cross Validation6m
- Machine Learning Fundamentals: The Confusion Matrix7m
- Machine Learning Fundamentals: Sensitivity and Specificity11m
- The Sensitivity, Specificity, Precision, Recall Sing-a-Long!!!42s
- Machine Learning Fundamentals: Bias and Variance6m
- Entropy (for data science) Clearly Explained!!!16m
- Mutual Information, Clearly Explained!!!16m
Requirements
- •Basic statistics
About this course
Demystify ML algorithms with StatQuest's visual approach. This curated learning path is organized into 10 modules and 63 lessons, taught by StatQuest with Josh Starmer. MegaCourse upgrades the original 8-section playlist into a complete mega course by adding 2 curated reading & resource lessons, a final knowledge-check quiz, plus structure, learning outcomes, progress tracking, and a shareable certificate of completion.
Who this course is for
- Aspiring ML engineers
Instructor
Trusted creator on MegaCourse
Licensing & attribution
License: YouTube Standard License
Videos are embedded from their original creators and remain free to watch. MegaCourse's paid layer covers our own study guides, graded exams, certificates, and curation.
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