A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A binary classification problem is one where the goal is to predict the value ...
Deep Learning with Yacine on MSN
Visualizing High-Dimensional Data Using PCA in Scikit-Learn
Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and ...
Dr. James McCaffrey of Microsoft Research says decision trees are useful for relatively small datasets and when the trained model must be easily interpretable, but often don't work well with large ...
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