Particle Swarm Optimization

The Concept of "Optimization"Optimization is a fundamental aspect of many scientific and engineering disciplines. It involves finding the best solution from a set of possible solutions, often with the goal of minimizing or maximizing a particular function. Optimization algorithms...

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Random Forest Regression

Random Forest is a powerful machine learning algorithm that has gained significant popularity in both academia and industry due to its excellent performance, robustness, and easy use. It's an ensemble learning method, which means that it combines the predictions of several base...

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Mathematical Formulation SVR

Support Vector Machines (SVMs), first introduced by Vapnik in 1995, represent one of the most impactful advancements in the realm of machine learning. Since their inception, SVMs have proven highly versatile, with successful implementations across a myriad of domains including...

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Support Vector Machines for Regression

Support Vector Machines (SVM) is a powerful and versatile machine learning algorithm that is widely used in both Classification and Regression tasks. Originally developed for binary classification, it operates on the principle of finding the hyperplane that best separates the...

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Regression in Machine Learning

Regression is a supervised learning technique widely used in Machine Learning and Data Science. These kind of techniques aims to predict a continuous outcome variable (y) based on the values of one or more predictor variables and features (X), which can be continuous and/or...

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