Understanding Decision Trees using Python (scikit-learn)

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This is an old video I made on decision trees using scikit-learn (python) for a course back in 2019 that I am making public now.

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09:31: Train Test Split (TrainTestSplit.ipynb)
18:17: Decision Tree Exercise with Titantic Data (ExerciseDecisionTree.ipynb)
18:52: Solution to Decision Tree Exercise with Titantic Data
19:18: Arrange Data into Features Matrix and Target Vector
21:02: Split Data into Training and Testing Sets
21:12: Fit a Decision Tree on the Titantic Dataset
21:56: Make Predictions on the Testing Set and Calculate the Accuracy
22:10: Compare the Testing Accuracy to the Null Accuracy
23:38: Confusion Matrix of Titanic Predictions
24:14: Feature Importance Metric from Decision Trees
24:52: Creating a Decision Tree Visualization using Matplotlib and Graphviz

MichaelGalarnyk
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is this the same course is also available on linkedin learning?

leonardopoveromo