Using General Linear Models for Machine Learning
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About the Using General Linear Models for Machine Learning category
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1.0 Section Overview
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2.0 The Foundations of ML - Curve Fitting
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3.0 Regression Walkthrough
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4.0 Underfitting and Overfitting
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5.0 Controlling ML Models - Regularisation in Practise
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6.0 Exploring Simple Relationships - Correlations
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7.0 Finding Nonlinear Relations - Predictive Power Score
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8.0 Correlation & PPS Walkthrough
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9.0 From Regression to Classification - Logistic Regression
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10.0 Logistic Regression in Wild
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11.0 Looking through the Right Lens - Principle Component Analysis
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12.0 Looking in the Right Direction - Exploring PCA
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13.0 Conclusion, Certificate, and What Next?
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