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4:08
YouTube
Schovia
Tuning Random Forest: The 3 Hyperparameters You MUST Know (scikit-learn)
Tuning Random Forest models starts with three core hyperparameters. In this video, we break down n_estimators, max_features, and min_samples_leaf using simple, clear explanations so you know exactly what to adjust in scikit-learn. What you’ll learn: -How the number of trees affects stability and speed -Why feature randomness matters -How leaf ...
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6 months ago
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