Exploring 7 3 Predicting Probability Scores Applied Machine Learning Varada Kolhatkar Ubc
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- Motivation for model interpretation Corresponding notebook: TBD Course Github page: https://github.com/
- What is Natural Language Processing (NLP)? Corresponding notebook: ...
- A quick introduction to classification evaluation metrics (precision, recall, f1-
- What is the fundamental goal of supervised
- High-level introduction to decision trees Corresponding notebook: ...
In-Depth Information on 7 3 Predicting Probability Scores Applied Machine Learning Varada Kolhatkar Ubc
Predicting probability scores Relevant arguments for kNNs, pros and cons of kNNs, parametric and non-parametric Corresponding notebook: ... Introduction to hierarchical clustering, dendrograms Related course Github page: https://github.com/ Limitations of K-Means, DBSCAN motivation Related course Github page: https://github.com/
Unsupervised
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