Projects from Comp 135 Intro to Machine Learning:
- k-Nearest Neighbor Classifier
- Decision Tree Pruning, Missing Data and Weka
- Normalization, k-NN vs Perceptron
- Cross Validation and Feature Selection
- Clustering
- Active Learning
- Outlier Detection
-
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Projects from Comp 135 Intro to Machine Learning
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