Transform the data | End to End Machine Learning

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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)

Transform the data

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