About this document
ML Assignment No. 6.2 by nehayjadhav2003 is a document available to read on EtoBox.
The document outlines an assignment to apply Principal Component Analysis (PCA) on a heart disease dataset for binary classification. It includes steps for data preparation, PCA implementation, model training using Logistic Regression, and evaluation metrics. The dataset consists of 303 rows and 14 columns, with the target variable indicating the presence or absence of heart disease.
- Author
- nehayjadhav2003
- Language
- EN