Learning Module 1

Week 1 Study Guide: http://ksuweb.kennesaw.edu/~yxie2/Courses/IT6773/Week1StudyGuide.docx

Lecture Notes: http://ksuweb.kennesaw.edu/~yxie2/Courses/IT6773/Introduction.pptx

Week 1 Discussion: Please provide two examples of machine learning applications (in healthcare, in finance, in social media, in e-commerce...)

Quiz 1

Self-Evaluation Quiz 1

Learning Module 2

Week 2 Study Guide: http://ksuweb.kennesaw.edu/~yxie2/Courses/IT6773/Week2StudyGuide.docx

Learning Material: http://ksuweb.kennesaw.edu/~yxie2/Courses/IT6773/IntroductionToPython.html

http://ksuweb.kennesaw.edu/~yxie2/Courses/IT6773/IntroductionToPython.IPYNB

Quiz 2

Assignment 1

Week 2 Discussion

Learning Module 3

Week 3 Study Guide: http://ksuweb.kennesaw.edu/~yxie2/Courses/IT6773/Week3StudyGuide.docx

Lecture Notes: http://ksuweb.kennesaw.edu/~yxie2/Courses/IT6773/Pandas.pptx

Quiz 3

Assignment 2

Learning Module 4

Week 4 Study Guide: http://ksuweb.kennesaw.edu/~yxie2/Courses/IT6773/Week4StudyGuide.docx

Lecture Notes: https://www.tutorialspoint.com/python_pandas/index.htm

Assignment 3

Week 4 Discussion

Learning Module 5

Week 5 Study Guide: http://ksuweb.kennesaw.edu/~yxie2/Courses/IT6773/Week5StudyGuide.docx

Lecture Notes: http://ksuweb.kennesaw.edu/~yxie2/Courses/IT6773/GetExploreSplit.ipynb

Assignment 4

Learning Module 6

Week 6 Study Guide: http://ksuweb.kennesaw.edu/~yxie2/Courses/IT6773/Week6StudyGuide.docx

Lecture Notes: http://ksuweb.kennesaw.edu/~yxie2/Courses/IT6773/TransformTrainTest.ipynb

Assignment 5

Week 6 Discussion

Learning Module 7

Week 7 Study Guide: http://ksuweb.kennesaw.edu/~yxie2/Courses/IT6773/Week7StudyGuide.docx

Lecture Notes: http://ksuweb.kennesaw.edu/~yxie2/Courses/IT6773/SelectTrainFineTune.ipynb

Midterm Exam

Assignment 6

Course Project Proposal

Learning Module 8

Week 8 Study Guide: http://ksuweb.kennesaw.edu/~yxie2/Courses/IT6773/Week8StudyGuide.docx

Lecture Notes: http://ksuweb.kennesaw.edu/~yxie2/Courses/IT6773/BinaryClassification.ipynb

Assignment 7

Learning Module 9

Week 9 Study Guide: http://ksuweb.kennesaw.edu/~yxie2/Courses/IT6773/Week9StudyGuide.docx

Lecture Notes: http://ksuweb.kennesaw.edu/~yxie2/Courses/IT6773/MultiClassification.ipynb

Assignment 8

Week 9 Discussion

Learning Module 10

Week 10 Study Guide: http://ksuweb.kennesaw.edu/~yxie2/Courses/IT6773/Week10StudyGuide.docx

Lecture Notes: http://ksuweb.kennesaw.edu/~yxie2/Courses/IT6773/RegressionModel.pptx

Assignment 9

Learning Module 11

Week 11 Study Guide: http://ksuweb.kennesaw.edu/~yxie2/Courses/IT6773/Week11StudyGuide.docx

Lecture Notes: http://ksuweb.kennesaw.edu/~yxie2/Courses/IT6773/LinearClassficationModel.pptx

Week 11 Discussion

Learning Module 12

Week 12 Study Guide: http://ksuweb.kennesaw.edu/~yxie2/Courses/IT6773/Week12StudyGuide.docx

Lecture Notes: http://ksuweb.kennesaw.edu/~yxie2/Courses/IT6773/TreeforClassfication.pptx

Assignment 10

Learning Module 13

Week 13 Study Guide: http://ksuweb.kennesaw.edu/~yxie2/Courses/IT6773/Week13StudyGuide.docx

Lecture Notes: http://ksuweb.kennesaw.edu/~yxie2/Courses/IT6773/OHPL.pptx

Week 13 Discussion

Learning Module 14

Final Review

Learning Module 15

Course Project Presentation