7 docs tagged with "Classification"

Concepts and examples of Classification models that categorize data into specific groups in machine learning

Understanding the concept and application of K-Nearest Neighbors (KNN) in machine learning, which classifies based on proximity to surrounding data.

Understand the concept and application of Logistic Regression for classifying data into distinct categories in machine learning.

An introduction to the concept and application of Random Forest, which predicts using multiple decision trees in machine learning

The concept and application methods of Decision Trees for classifying and predicting data in machine learning

The concepts and differences between Classification and Regression, the problem types solved by machine learning models

Understanding the concept and application of Support Vector Machine (SVM), a machine learning algorithm that finds the best boundary to separate data