Supervised Learning
Techniques and approaches for supervised machine learning
Supervised Learning
Supervised learning is a type of machine learning where the model is trained on labeled data. The goal is for the model to learn to make predictions based on input-output pairs.
Types of Supervised Learning Algorithms
- Linear Regression: Predicting continuous outcomes.
- Classification: Categorizing data into classes.
- Decision Trees: Classifying and predicting outcomes using a tree structure.
- Neural Networks: Complex models for learning intricate patterns.
For more details on each topic, click the links above.
Next Topics
- Classification
Techniques for categorizing data into predefined classes
- del me
Techniques for categorizing data into predefined classes
- Linear Regression
A simple approach for predicting continuous values
- Tree
A simple approach for predicting continuous values