This course focuses on key classification techniques and evaluation metrics, including logistic regression, decision tree, and k-nearest neighbors (KNN) classifiers. You will understand how to compare and evaluate classifier performance using various metrics.
Overview
Syllabus
- Lesson 1: Logistic Regression Basics
- Lesson 2: Decision Tree Classifier Basics
- Lesson 3: K-Nearest Neighbors (KNN) Basics
- Lesson 4: Naive Bayes Basics
- Lesson 5: Support Vector Machine (SVM) Basics
