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**