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2025/2026 Statistical & Machine Learning Homework 1: SVM Classification in R (kernlab) – Pass Exams First Try (Referencing James, Witten, Hastie, Tibshirani's 'Intro to Statistical Learning, 2nd Ed.')
Unlock success in your 2025/2026 Statistical Learning and Machine Learning courses with this comprehensive Homework 1 assignment. Dive deep into practical applications of classification models, focusing on Support Vector Machines (SVMs) implemented with the R `kernlab` package. This problem set challenges students to identify key predictors for real-world scenarios, such as predicting student financial risk, and to build and evaluate robust classification models. Aligned with advanced statistical learning concepts, this resource is meticulously designed to provide the hands-on experience vital for acing your exams on the very first try, saving you from the stress and expense of resits. Perfect for students striving for a deep understanding of R-based machine learning and data analysis.
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