†ISLR refers to the textbook *Introduction to Statistical Learning with Applications in R*.

Date | Lab | References |
---|---|---|

Aug 30 | Probability review | Probability Theory Review and Reference Probability review slides 1 Probability review slides 3 |

Sep 6 | Linear algebra review | Linear Algebra Review and Reference Linear algebra review slides 2 |

Sep 13 | Intro to R | ISLR §2.3 Introduction to R lab |

Sep 20 | Linear regression lab | ISLR §3.6 Linear regression lab |

Sep 27 | Classification lab | ISLR §4.7 Classification lab |

Oct 4 | Cross-validation and the Bootstrap lab | ISLR §5.3 Cross validation and the Bootstrap lab |

Oct 11 | Linear models selection and regularization lab | ISLR §6.5 Model selection lab |

Oct 25 | Support vector machines lab | ISLR §9.6 Support vector machines lab |

Nov 1 | Moving beyond linearity | ISLR Ch 7 Moving beyond linearity slides |

Nov 8, 15 | Midterm review + solutions | |

Nov 22 | Tree-based methods lab | ISLR §8.3 Decision trees lab |

Nov 29 | Clustering lab | ISLR §12.5.3–4 Clustering lab |

Dec 6 | PCA lab | ISLR §12.5.1–2 PCA lab |