Machine Learning: Regression
13 videos • 3,358 views • by Mario Castro
1
A brief introduction to regression
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2
Introduction to linear regression part I: Definitions and ideas
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3
Linear regression part II: What's the meaning of correlation?
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4
Linear regression in R: super simple examples and motivation
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5
Linear regression in R: checking your fit (losers don’t do it)
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6
Introduction to linear regression part III: Categorical regressors
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7
Introduction to linear regression part IV: Simple polynomial regression
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8
Beyond linear regression: interactions (part I)
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9
Beyond linear regression: interactions (part II)
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10
Non-parametric models part I: Generalized Additive Models
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11
Non-parametric models part II: Polynomial splines
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12
Non-parametric models part III: Comparison of GAMs
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13
Super easy GAM regression using ggplot2
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