subo797112
Machine learning algorithms
1. Linear Regression
Simple linear relationship.
Predicts continuous numeric values.
2. Logistic Regression
Predicts binary outcomes.
Used for classification tasks.
3. Decision Trees
Hierarchical tree-like structure.
Ideal for both classification and regression.
4. Natural Language Processing
To interpret, manipulate, and comprehend human language.
5. Neural Networks
Inspired by the human brain.
Deep learning for complex tasks.
Machine learning algorithms
1. Linear Regression
Simple linear relationship.
Predicts continuous numeric values.
2. Logistic Regression
Predicts binary outcomes.
Used for classification tasks.
3. Decision Trees
Hierarchical tree-like structure.
Ideal for both classification and regression.
4. Natural Language Processing
To interpret, manipulate, and comprehend human language.
5. Neural Networks
Inspired by the human brain.
Deep learning for complex tasks.