## Purpose of This Course

You should leave here today:

- Having some basic familiarity with key terms,
- Having used a few standard fundamental methods, and have a grounding in the underlying theory,
- Having developed some familiarity with the python package
`scikit-learn`

- Understanding some basic concepts with broad applicability.

We'll cover, and you'll use, most or all of the following methods:

Supervised | Unsupervised | |
---|---|---|

CONTINUOUS | Regression: OLS, Lowess, Lasso |
Variable Selection: PCA |

DISCRETE | Classification: Logistic Regression, kNN, Decision Trees, Naive Bayes, Random Forest |
Clustering: k-Means, Hierarchical Clustering |