Machine Learning Algorithms Explained: Essential Supervised Learning Algorithms Welcome Tech Geeks! Introduction Machine learning is built upon various algorithms that help uncover patterns in data and make predictions. In this blog, we will break down the ten most commonly used supervised learning algorithms in a simplified manner with practical examples in Python. 1. Linear Regression What is Linear Regression? What is Linear Regression? Linear Regression is one of the simplest and most widely used supervised learning algorithms. It is primarily used for predicting continuous numerical values based on input features. The main goal of linear regression is to establish a linear relationship between dependent and independent variables. How It Works Linear Regression assumes that the relationship between the input variable x x x and the output variable y y y is linear, meaning that the data can be represented by a straight line in a two-dimensional space. The mathematical representatio...