Machine Learning Tutorial

A step-by-step walkthrough of basic supervised learning workflows using the Iris dataset.

Python 3 Jupyter Notebook datasets model_selection linear_model neighbors metrics
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Project Overview

This notebook demonstrates the end-to-end process of loading the Iris dataset, splitting into training and test sets, and applying two different classifiers (Logistic Regression and K-Nearest Neighbors). It covers model training, prediction, and evaluation via accuracy, confusion matrices, and classification reports .

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Project Details

  • Completion Date June 2023
  • Category Machine Learning
  • Project Type HTML File

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Machine Learning Tutorial