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Scikit-Learn Exercises in Jupyter Notebook by Sharil nadzimuddin johari is a document available to read on EtoBox.

The document provides exercises for practicing different machine learning tasks with Scikit-Learn. It outlines an end-to-end workflow for classification that includes: 1) preparing a dataset, 2) building a model, 3) fitting the model and making predictions, and 4) evaluating the model. As an example, it applies a random forest classifier to a heart disease dataset and achieves 81.9% accuracy on the test set. It then prompts experimenting with additional models like logistic regression and SVM to determine t

Author
Sharil nadzimuddin johari
Language
EN