What Are the Most Commonly Used Algorithms in Data Science?
Data science has revolutionized industries by providing tools to extract meaningful insights from large datasets. Whether you're taking a Data Science Course , participating in Data Science Training, or attending Data Science Classes, you'll encounter a variety of algorithms that are fundamental to the field. Understanding these algorithms is crucial for anyone looking to learn data science and apply it effectively. 1. Linear Regression Linear regression is one of the simplest and most commonly used algorithms in data science. It’s used for predicting a continuous target variable based on one or more predictor variables. This algorithm assumes a linear relationship between the input variables and the output. Applications: Forecasting sales, predicting housing prices, and estimating demand. Key Concepts: Coefficients, intercept, residuals, and R-squared value. 2. Logistic Regression Logistic regression is used for binary classification problems where the output variable is ca...