Embry-Riddle Aeronautical University
DS440 Data Mining
Fall 2022

Schedule

  • Event
    Date
    Description
    Course Material
  • Lecture
    08/29/2022
    Monday
    Lecture 1 Course Introduction
    [Notebook]
  • Lecture
    08/31/2022
    Wednesday
    Lecture 2 Python Introduction
    [Notebook]

    Suggested Readings:

  • Lecture
    09/02/2022
    Friday
    Lecture 3 Numpy
    [Notebook]

    Suggested Readings:

  • Lecture
    09/07/2022
    Wednesday
    Lecture 4 Scipy
    [Notebook]

    Suggested Readings:

  • Lecture
    09/09/2022
    Friday
    Lecture 5 Matplotlib
    [Notebook]

    Suggested Readings:

  • Assignment
    09/12/2022
    Monday
    Homework 1 released!
    [Homework 1] [Solutions]
  • Lecture
    09/12/2022
    Monday
    Lecture 6 Data Characteristics
    [Notebook]
  • Lecture
    09/14/2022
    Wednesday
    Lecture 7 Data quality and preprocessing
    [Notebook]
  • Lecture
    09/16/2022
    Friday
    Lecture 8 Introduction to Sklearn
    [Notebook]

    Suggested Readings:

  • Lecture
    09/21/2022
    Wednesday
    Lecture 9 Linear Regression 1
    [Notebook]

    Suggested Readings:

  • Lecture
    09/23/2022
    Friday
    Lecture 10 Linear Regression 2
    [Notebook]

    Suggested Readings:

  • Lecture
    09/26/2022
    Monday
    Lecture 11 Ridge Regression
    [Notebook]

    Suggested Readings:

  • Due
    10/01/2022 23:59
    Saturday
    Homework 1 due
  • Assignment
    10/05/2022
    Wednesday
    Homework 2 released!
    [Homework 2] [Solutions]
  • Lecture
    10/05/2022
    Wednesday
    Lecture 16 Lasso Regression
    [Notebook]
  • Lecture
    10/07/2022
    Friday
    Lecture 17 Regression Comparison
    [Notebook]

    Suggested Readings:

  • Lecture
    10/10/2022
    Monday
    Lecture 18 Classification Introduction
    [Notebook]

    Suggested Readings:

  • Lecture
    10/12/2022
    Wednesday
    Lecture 19 Logistic Regression
    [Notebook]

    Suggested Readings:

  • Lecture
    10/14/2022
    Friday
    Lecture 20 Decision Trees
    [Notebook]

    Suggested Readings:

  • Lecture
    10/17/2022
    Monday
    Lecture 21 Random Forest
    [Notebook]
  • Due
    10/19/2022 23:59
    Wednesday
    Homework 2 due
  • Lecture
    10/24/2022
    Monday
    Lecture 22 Classifier Evaluation
    [Notebook]
  • Assignment
    10/25/2022
    Tuesday
    Homework 3 released!
    [Homework 3]
  • Lecture
    10/26/2022
    Wednesday
    Lecture 23 Classifier Comparison
    [Notebook]

    Suggested Readings:

  • Lecture
    10/28/2022
    Friday
    Lecture 24 Classifier Comparison
    [Notebook]

    Suggested Readings:

  • Lecture
    10/31/2022
    Monday
    Lecture 25 K-Nearest Neighbor Classifier
    [Notebook]

    Suggested Readings:

  • Lecture
    11/02/2022
    Wednesday
    Lecture 26 Ensemble models
    [Notebook]

    Suggested Readings:

  • Lecture
    11/04/2022
    Friday
    Lecture 27 Ensemble models 2
    [Notebook]

    Suggested Readings:

  • Due
    11/07/2022 23:59
    Monday
    Homework 3 due
  • Lecture
    11/18/2022
    Friday
    Lecture 31 K-Means Clustering
    [Notebook]