About this document

Penugasan Bootcamp Series 5: KNN & SVM by Perfect Darkside is a document available to read on EtoBox.

The document provides instructions for a machine learning assignment involving three classification algorithms: K-Nearest Neighbors, Support Vector Machine, and Decision Tree. Participants are asked to apply the algorithms to a drug dataset with 200 entries and 6 features to classify the drugs. The document includes code to explore the data, preprocess it by handling missing data and encoding categorical variables, and apply linear regression as an example. Participants are encouraged to explain their code

Author

Perfect Darkside

Language

EN