"Unlock the power of decision tree algorithms with this comprehensive tutorial using Python's scikit-learn library! In this video, we walk you through the step-by-step process of building, training, and evaluating a decision tree model using the famous wine dataset. You'll learn how to:
Load and explore the wine dataset
Split data into training and testing sets
Train a decision tree classifier
Evaluate model performance with accuracy, confusion matrix, and classification report
Compare predicted vs actual values
Test the model with new data
Perfect for beginners and data science enthusiasts looking to deepen their machine learning skills. Don't forget to like, subscribe, and hit the bell icon for more data science tutorials!
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Негізгі бет Master Decision Trees with Python: Wine Dataset Tutorial
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