Top 5 Machine Learning Algorithms In 2023 You Need To Know

1. Linear Regression

Linear regression algorithms are the most basic algorithms to determine if a correlation between two variables is positive or negative.

2. Logistic Regression

Logistic regression algorithms are supervised machine learning algorithms ideal for binary classification problems such as email spam detection, conversion prediction, etc.

3. Decision Tree

Decision tree is a powerful supervised machine learning algorithm for classification and regression problems.

4. Support Vector Machine

SVM is a supervised machine learning algorithm popular for working on small datasets. It can be used for both classification and regression problems.

5. Naive Bayes

Based on Bayes Theorem, Naïve Bayes algorithm is a supervised machine learning useful to solve classification problems.

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