Machine learning

What Are Random Forests? Random forests are a type of machine learning algorithm used for decision-making, particularly in classification and regression tasks. They resemble decision trees but are more complex and effective, especially with large datasets. A random forest is essentially a collection of multiple decision trees grouped together. Unlike a single decision tree, which … Read more

What is Linear Regression? Linear regression is a predictive analysis method that measures probabilities to assess the likelihood of an event. It focuses on two key aspects: the quality of predictor variables and their significance. Predictor variables must effectively forecast the outcome variable, and their impact on the outcome must be significant. With these factors, … Read more