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Practical Machine Learning |
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- Simple Guide to Confusion Matrix Terminology (sensitivity, specificity, etc.)
- ROC curves and Area Under the Curve explained: video tutorial, companion blog post (with video transcript and screenshots)
- Video lectures from "An Introduction to Statistical Learning": Videos for Chapters 4, 5, 6, 8, and 10 can help to deepen your understanding of the topics presented in this course.
- Participating in Kaggle's Allstate Purchase Prediction Challenge: Description of what it's like to compete in a Kaggle competition, including links to a project paper, R code, presentation slides, and a presentation video.
- Comparing Supervised Learning Algorithms: Comparing 8 common supervised learning algorithms (for regression and classification) on 13 different dimensions.
- Complete notes for Practical Machine Learning