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SVM Tutorial with Scikit-learn in Python by NIDHI SHARMA is a document available to read on EtoBox.

What is SVM Tutorial with Scikit-learn in Python about?

This tutorial covers Support Vector Machines (SVM), a powerful supervised machine learning algorithm known for its high accuracy and ability to handle nonlinear input spaces using kernel tricks. It explains the concepts of hyperplanes, margins, and support vectors, and provides a practical implementation using the scikit-learn library in Python, specifically for classifying breast cancer data. The tutorial also includes steps for data exploration, model training, and evaluation, achieving a classification a

Author

NIDHI SHARMA

Language

EN