Machine Learning (ML) is a rapidly growing field that is transforming the way we do business and live our lives. It is a branch of artificial intelligence that enables systems to learn and improve from experience automatically, without being explicitly programmed.

Machine learning algorithms are used to make predictions and decisions based on data, and they can be applied to a wide range of problems and industries.

As a beginner, it can be overwhelming to navigate the vast number of machine learning algorithms available.

To help you get started, this article will introduce you to the top 10 machine learning algorithms that beginners should learn. These algorithms are widely used and relatively easy to understand, making them a great starting point for anyone new to ML.

Here Are The Top 10 Machine Learning Algorithms That Beginners Should Learn:

1. Linear Regression