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iris-dataset-tutorial

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fxckillua / Iris-accuracy-and-loss

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Projeto que utiliza a base de dados Iris para calcular a acurácia e a função de perda de um modelo de aprendizado de máquina. Focado em análise de desempenho e avaliação de modelos.

c open-source machine-learning machine-learning-algorithms artificial-intelligence accuracy data-analysis loss-functions model-evaluation artificial-intelligence-algorithms iris-dataset machine-learning-models iris-dataset-tutorial loss-function model-evaluation-metrics iris-dataset-creating loss-function-learning
  • Updated Sep 30, 2024
  • C

sameermustaqeem878-source / day1-ml-Intern

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A simple machine learning project using Python and Scikit-learn to classify Iris flowers. The built-in Iris dataset is split into training and testing sets, then a Decision Tree classifier is trained to predict flower species. The model’s performance is evaluated using an accuracy score in Google Colab.

python machine-learning scikit-learn classification decision-trees decision-tree-classifier iris-dataset iris-dataset-tutorial google-colab scikit-learn-python google-colab-notebook classification-internal
  • Updated Aug 28, 2026
  • Jupyter Notebook

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