Data Science 101 slides

**Review slides 296 – 327 for the following topics:**

Working with binary data – cosine distance

Clustering binary data – spherical k-means

Assessing quality of spherical k-means clustering

Interpreting clusters of binary data and making recommendations

Pitfalls of clustering

**Complete the following exercises:**

Exercise set 3 – Clustering many attributes

**Complete Concept review 4: implementation of clustering in the Assessment tab to complete this lesson**