Online Workshop: Data Science with Python, Part 1

Monday, April 13, 2020
12 pm–1:30 pm
Online via Webex

Contact:

Ryan Womack

This workshop delves into a wider variety of basic supervised learning methods for both classification and regression (Linear Regression, Logistic Regression, Naive Bayes, k-nearest neighbor). In the last part, we will discuss unsupervised learning techniques namely k-Means, PCA. We will apply all techniques on a dataset and compare each of these techniques in terms of accuracy, inference, etc. 

Webex Conference Link 

RSVP for any/all of the Python workshops.

Non-library location