CSC 412 Machine Learning and Knowledge Discovery

• Syllabus
• An Informal Introduction to Python
• Learn LaTeX in 30 minutes
• Assignment I:
  Create a one-page letter-size cheat sheet of Chapter 1 using LaTeX.
  This cheat sheet will be used in your Exam 1.
  Due Date: Wed, Feb 14 (5 points)
• Iris Data Set (Intro)
• Replit Code URL: https://replit.com/@Cong_Chen/20240205 (Change the date: yyyymmdd)
• Python Examples (Mon, Feb 5)
• Pandas Cheat Sheet
• Numpy Cheat Sheet
• Exercise I
• Housing Data Set (Chapter 2)
• Colab Notes: 20240214-1 20240214-2
• Colab Notes: 20240221-1 20240221-2
• Colab Notes: 20240222-1 20240222-2
• MNIST Data Set (7,000 samples) (Chapter 3)
• Review I (pandas-Numpy Cheat Sheet for Exam I)
• Exam I
• Exercise II
• Assignment II (Data Set) (Hidden Test Set)
• Colab Notes: 20240304-1 20240304-2
• Colab Notes: 20240313-1 20240313-2
• Exercise III
• Exercise IV (Textbook Exercises from Chapter 4)
• Assignment III:
  Create a one-page letter-size cheat sheet of any equations (formulae) using LaTeX.
  ONLY EQUATIONS, FIGURES AND SHORT WORDS ALLOWED!
  NO SENTENCES OR PARAGRAPHS!
  Bring this cheat sheet to the Exam 2 (5 points)
• Review II (April 3, Wed)
• Hidden Test Results
• Exam II
• Decision Trees
• Assignment IV
• Image Compression Using PCA Code
• Review III (May 8, Wed)
• Assignment V:
  Create a one-page letter-size cheat sheet using LaTeX.
  Bring this cheat sheet to the Exam III (5 points)
• Gaussian Mixture Models