Overview
Regression and classification are fundamental concepts in machine learning, both falling under the umbrella of supervised learning. Regression focuses on predicting continuous outcomes, while classification deals with predicting discrete categories. Understanding these concepts is crucial for develo...
Key Terms
Example: Predicting house prices based on historical data.
Example: Predicting temperature based on historical weather data.
Example: Classifying emails as spam or not spam.
Example: Predicting sales based on advertising spend.
Example: Determining if a customer will buy a product.
Example: Classifying animals based on features like size and habitat.
Related Topics
Clustering
A type of unsupervised learning that groups similar data points together.
intermediateNeural Networks
A set of algorithms modeled after the human brain, used for complex pattern recognition.
advancedFeature Engineering
The process of selecting and transforming variables to improve model performance.
intermediateKey Concepts
Supervised LearningRegressionClassificationPredictive Modeling