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ML Exp 10 by aditideo624 is a document available to read on EtoBox.

What is ML Exp 10 about?

The document outlines Experiment No. 10 conducted by Pratik Dilip Ghanekar, focusing on applying Principal Component Analysis (PCA) to the Iris dataset. It includes steps for data preprocessing, PCA application, determining the optimal number of components, and visualizing the results, as well as using PCA-transformed data in a Random Forest Classifier. The experiment concludes with the model

Author

aditideo624

Language

EN