Artificial Intelligence
Supervised Learning in Practice
Supervised Learning in Practice is a course in AI & Machine Learning Mastery: From Zero to Practitioner. 10 lessons covering Logistic Regression — The Workhorse of Classification; k-Nearest Neighbours — Learning by Analogy; Support Vector Machines — Maximum Margin Classification.
10 published lessons · Online learning · Part of Learn & Grow
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What this course covers
- Logistic Regression — The Workhorse of Classification · 13 min
- k-Nearest Neighbours — Learning by Analogy · 12 min
- Support Vector Machines — Maximum Margin Classification · 13 min
- Naive Bayes — Fast, Simple, and Surprisingly Effective · 12 min
- Model Comparison Framework — How to Choose the Best Algorithm · 14 min
- Probability Calibration — Making Model Probabilities Trustworthy · 13 min
- Multi-class Classification — When There Are More Than Two Outcomes · 13 min
- Regression Algorithms Deep Dive — Ridge, Lasso, and Beyond · 13 min
- Learning Curves and Model Diagnostics — Identifying What Is Wrong · 14 min
- Module 5 Capstone — Supervised Learning Comparison on a Nigerian Dataset · 15 min
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