204.3.6 The Decision Tree Algorithm
Link to the previous post : https://course.dvanalyticsmds.com/204-3-5-information-gain-in-decision-tree-split/ In this post we will understand the decision tree algorithm step by step, …
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204.3.5 Information Gain in Decision Tree Split
Link to the previous post : https://course.dvanalyticsmds.com/204-3-4-how-to-calculate-entropy-for-decision-tree-split/ In the previous post of this series we calculated the entropy for each …
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204.3.4 How to Calculate Entropy for Decision Tree Split?
Link to the previous post : https://course.dvanalyticsmds.com/204-3-3-how-decision-tree-splits-works/ Entropy Calculation – Example Entropy at root Total population at root 100 50+,50- …
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204.3.3 How Decision tree Splits works?
Link to the previous post : https://course.dvanalyticsmds.com/204-3-2-the-decision-tree-approach/ Decision Tree follows the Algorithm ID3 (Iterative Dichotomiser 3). This algorithm iteratively splits data …
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204.3.2 The Decision Tree Approach
Link to the previous post :https://course.dvanalyticsmds.com/204-3-1-decision-trees-in-python-segmentation/ The Decision Tree Approach The aim is to divide the whole population or the …
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204.3.1 Decision Trees in Python : Segmentation
In this series of posts we will cover one of the widely used algorithms in machine learning. We will start …
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