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211. Decision Trees with Python and Pandas
Get the data
Introduction (3:55)
Define the problem (2:41)
Find the data (7:37)
Gather the data (7:51)
Timezone bugfix (3:00)
Prepare the data for modeling
Transform the data (12:38)
Archive the data (4:56)
Visualize the data (7:29)
Calculate possible arrival times (12:40)
Create features (13:23)
Build a model
Build a decision tree (8:53)
Build the tree nodes (10:00)
Evaluate potential node splits (8:39)
Visualize the tree (7:42)
Inspect the tree (4:37)
Put the model to work
Test the model (11:40)
Tune the model (8:53)
Get recommendations (7:18)
Wrap up (3:10)
Timezone bugfix
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