Topic outline

  • General

  • February 8-12

    • Module 1 File 410.8KB PDF document Uploaded 4/02/21, 15:51
    • Quiz 1

      This quiz will be open on February 12, 2021 at 1PM and will be closed at 2PM. You are given 30 minutes to answer all questions.  Take note you are only given 1 attempt to answer the quiz.

  • February 15-26

    • Data (Part 1) File

      This module discusses several data-related issues that are important for successful data mining

    • Activity #2 Assignment

      Write your answers on a piece of paper, take a picture of your answers then upload the image.

  • March 1 - March 18

    • Module 3 File

      This chapter introduces the basic concepts of classification and describes some of its key issues such as model overfitting, model selection, and model evaluation. While these topics are illustrated using a classification technique known as decision tree induction, most of the discussion in this chapter is also applicable to other classification techniques.

  • April 12-16

    This chapter presents alternative techniques for building classification models—from simple techniques such as rule-based and nearest neighbor classifiers to more sophisticated techniques such as artificial neural networks, deep learning, support vector machines, and ensemble methods. Other practical issues such as the class imbalance and multiclass problems are also discussed at the end of the chapter.

  • April 25 - May 7