This is because, while **scikit learn Support Vector Machines** natively support continuous data, like **LIMIT_BAL** and **AGE**, they do not natively support categorical data, like **MARRIAGE**, ...

Support vector machines are a set of supervised learning methods used for classification, regression, and outliers detection. All of these are common tasks in machine learning. You can use them to ...

When you enter the Machine Learning dimension, it is highly likely that one of the first classifier algorithms you might come across is SVM, you will find that SVM is all over the place. SVM which ...

Support Vector Machines (SVMs) are supervised learning models for classification and regression problems. Support Vector Machines(SVMs) are supervised learning models for classification and regression ...

Learn what support vector machines are, how they work, and how you can use them to improve customer retention with AI. ... Some libraries, like scikit-learn in Python, ...