Introduction to 3 1 Generalization Applied Machine Learning Varada Kolhatkar Ubc
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3 1 Generalization Applied Machine Learning Varada Kolhatkar Ubc Comprehensive Overview
Predicting probability scores in the context of logistic regression Corresponding notebook: TBD Course Github page: ... Limitations of K-Means, DBSCAN motivation Related course Github page: https://github.com/ A quick introduction to classification evaluation metrics (precision, recall, f1-score) Corresponding notebook: TBD Course Github ...
Preprocessing Kaggle's Housing Price Prediction dataset: https://www.kaggle.com/c/home-data-for-ml-course/ Corresponding ...
Summary & Highlights for 3 1 Generalization Applied Machine Learning Varada Kolhatkar Ubc
- What is Natural Language Processing (NLP)? Corresponding notebook: ...
- Introduction to hierarchical clustering, dendrograms Related course Github page: https://github.com/
- High-level introduction to decision trees Corresponding notebook: ...
- Relevant arguments for kNNs, pros and cons of kNNs, parametric and non-parametric Corresponding notebook: ...
- Motivation for model interpretation Corresponding notebook: TBD Course Github page: https://github.com/
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