Exploring 2 2 Baselines Applied Machine Learning Varada Kolhatkar Ubc
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- A quick introduction to classification evaluation metrics (precision, recall, f1-score) Corresponding notebook: TBD Course Github ...
- Limitations of K-Means, DBSCAN motivation Related course Github page: https://github.com/
- What is Natural Language Processing (NLP)? Corresponding notebook: ...
- Introduction to feature importances for non-linear models Corresponding notebook: TBD Course Github page: ...
- Unsupervised
In-Depth Information on 2 2 Baselines Applied Machine Learning Varada Kolhatkar Ubc
Baselines High-level introduction to decision trees Corresponding notebook: ... Introduction to DBSCAN, eps and min_samples hyperparameters, K-Means vs. DBSCAN, failure cases for DBSCAN Related ... A brief introduction to Gradient Boosted Tree models Corresponding notebook: TBD Course Github page: ...
An introduction to scikit-learn CountVectorizer Corresponding notebook: ...
That wraps up our extensive overview of 2 2 Baselines Applied Machine Learning Varada Kolhatkar Ubc.
