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SVM Model Implementation in Python by Zunair Zafar is a document available to read on EtoBox.

What is SVM Model Implementation in Python about?

This document is a lab report on machine learning, specifically focusing on the implementation of a Support Vector Machine (SVM) model using a dataset that includes user demographics and purchase behavior. It outlines the steps taken to import libraries, manage the dataset, split it into training and test sets, train the SVM model, and visualize the results. The report also mentions the use of Kernel SVM and Gaussian Naive Bayes models for further analysis.

Author

Zunair Zafar

Language

EN