Lecture 3 – Polynomial and Spline Regression#

Contents of this lecture

  • Polynomial regression

  • Spline regression/fitting (different from interpolation)

  • Model estimation and evaluation of goodness

  • Cost/loss functions: penalties and regularization

  • Significant test and confidence interval (more complex model does not mean better model)

  • ANOVA, MSE and R2

  • Advises when apply statistical and machine learning for modelling

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Please download the lecture through the following link Lecture 3: Polynomial and Spline Regression