Introduction to classification

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Data Science 101 slides


Review slides 532 – 740 for the following topics:

k-Nearest Neighbors
Decision trees: gini coefficient and information gain
Introduction to random forests
Confusion matrices, misclassification rates
Base line errors and lift

Complete the following exercises:

Exercises 1 – 10 – classification exercises

Complete Concept review 7: introduction to classification in the Assessment tab to complete this lesson


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