Python Data Science: An Introduction to Classification Algorithms

Course Overview

This workshop introduced participants to classical classification algorithms such as Naive Bayes and Decision Trees, classification metrics such as precision, recall, accuracy, F-Measure, MCC, ROC, cross-entropy, etc and how to implement and compare the performance of these algorithms via Python on sample datasets. Participants learned the math behind Bayes’ Theorem and decision tree construction with Shannon information Gain.