Understanding Decision Trees using Python (scikit-learn)

Published: 02 December 2023
on channel: Michael Galarnyk

7,970

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.

Code here: https://github.com/mGalarnyk/Python_T...
Video based on this blog: / 9663d683c952

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

On this page of the site you can watch the video online Understanding Decision Trees using Python (scikit-learn) with a duration of hours minute second in good quality, which was uploaded by the user Michael Galarnyk 02 December 2023, share the link with friends and acquaintances, this video has already been watched 7,970 times on youtube and it was liked by 84 viewers. Enjoy your viewing!

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