Скачать или смотреть Decision Tree Classification on The Iris Dataset with Performance Evalution

In this video, I demonstrate a complete machine learning classification example using the Iris dataset in Python. The code covers loading the dataset, converting it into a Pandas DataFrame, applying MinMaxScaler for feature normalization, splitting the data into training and testing sets, training a Decision Tree Classifier, and making predictions. Finally, the model is evaluated using a confusion matrix and classification report to understand its performance. This video is ideal for beginners who want to learn how a full machine learning workflow is implemented using scikit-learn.

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#IrisDataset #DecisionTreeClassifier #MachineLearningPython #ScikitLearn #MinMaxScaler #MLWorkflow #DataPreprocessing #ClassificationModel #ConfusionMatrix #ClassificationReport #PythonForML #MLBeginner #AIProjects #DataScience #ArtificialIntelligence #MLTutorial #PythonProgramming #LearnMachineLearning #MLCode #HandsOnML