python decision tree from scratch
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creating a decision tree classifier in python from scratch
in this tutorial, we will walk through the process of building a decision tree classifier from scratch using python. decision trees are widely used in machine learning for classification and regression tasks due to their simplicity and interpretability.
understanding decision trees:
decision trees are hierarchical structures that represent a series of decisions and their potential consequences. at each node of the tree, a decision is made based on the value of a certain feature. this process continues recursively until a leaf node is reached, which represents the final decision or classification.
steps to build a decision tree:
python implementation:
explanation:
this tutorial provides a basic implementation of a decision tree classifier in python. in practice, libraries like scikit-learn provide optimized implementations that offer more features and better performance. however, building a decision tree from scratch is a great exercise to deepen your understanding of how decision trees work.
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