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#92: Scikit-learn 89:Supervised Learning 67: Isotonic regression

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May 24, 2021
13:59

The video discusses both intuition and code for Isotonic Regression in Scikit-learn in Python. Timeline (Python 3.8) 00:00 - Outline of video 00:24 - What is isotonic or monotonic data? 03:10 - Code snippet 04:03 - Open Jupyter notebook 04:16 - Data 04:34 - Example_1: Positive or increasing data: .IsotonicRegression(increasing=True) 07:09 - Example_2: Negative or decreasing data: .IsotonicRegression(increasing=False) 07:53 - Example_3: Positive or increasing data: .LinearRegression() 10:55 - Example_3: Positive or increasing data: .IsotonicRegression(increasing=True) 12:19 - Example_4: Negative or decreasing data: .LinearRegression(); .IsotonicRegression(increasing=False) 13:24 - Ending notes

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#92: Scikit-learn 89:Supervised Learning 67: Isotonic regression | NatokHD