About the Tree-based algorithms: Random Forests and Gradient category
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1.0 Introducing Decision Trees
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25 June 2024
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2.0 Decision Trees in Everyday Thinking
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3.0 Machine-Designed Decision Trees
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4.0 Classification Problems with Decision Trees: A Code Walkthrough
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5.0 Regression Problems with Decision Trees: A Code Walkthrough
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6.0 Ensemble Methods: Machine Learning and Democracy
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7.0 Random Forests: Decisions Don't Fall Far from the Decision Tree
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8.0 Random Forests out in the Wild
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9.0 Interpolation Through a Random Forest
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10.0 Give Yourself a Gradient Boost
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11.0 Auto-Correction in a Forest of Stumps
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12.0 Gradient Boosting by Hand: Code Example
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13.0 XGBoost in the Wild
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14.0 Cross validate with the XGBoost API
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15.0 Conclusion, Certificate, and What Next?
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