Completed
06:07 - random state
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Classroom Contents
Simple Machine Learning Code Tutorial for Beginners with Sklearn
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- 1 00:53 - install sklearn
- 2 02:00 - load dataset from sklearn
- 3 04:43 - train test data split
- 4 06:07 - random state
- 5 07:25 - training with sklearn
- 6 08:36 - predict with sklearn for testing and evaluation
- 7 09:44 - r2 metric for evaluation
- 8 11:06 - baseline model
- 9 11:34 - polynomial features
- 10 14:11 - algorithm optimization
- 11 16:34 - n jobs faster processing
- 12 17:55 - hyperparameter tuning
- 13 21:10 - save and load sklearn model
