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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Data Encoding

In the field of data science, the quality and format of the data we work with are just as important as the algorithms and models we use. One of the crucial aspects of data preprocessing is Data Encoding, a process that transforms categorical data into a format that can be understood...

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