Discussions

Machine Learning (ML) uses various algorithms to help computers learn from data and make accurate predictions or decisions. Some of the most widely used Machine Learning algorithms include:

1. Linear Regression – Used for predicting continuous values such as prices, sales, and trends.

2. Logistic Regression – A classification algorithm used when the outcome is categorical, like yes/no or spam/not spam.

3. Decision Tree – Splits data into branches based on conditions and works well for both classification and regression tasks.

4. Random Forest – An ensemble technique that combines multiple decision trees for higher accuracy and better performance.

5. Support Vector Machine (SVM) – Finds the best decision boundary between classes, useful in classification problems.

6. K-Nearest Neighbors (KNN) – Classifies data points based on the closest training examples in the feature space.

7. Naive Bayes – A probabilistic algorithm commonly used in text classification and spam detection.

8. K-Means Clustering – An unsupervised algorithm that groups similar data points into clusters.

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