CIS335 Course Contents

Syllabus

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Book Link

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Question Bank

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Question bank answer sheet

Assignments

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Extra Credit Document

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Weekly Lecture Contents

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Lecture Links

Week	Lecture (and book chapter)	Demo
1	intro getting to know your data (chapter 2)
2	getting to know your data (chapter 2) data preprocessing (chapter 3)	colab intro panda demo
3	data preprocessing	pca data reduction demo
4	classification concepts, trees (Chapter 8)	normalization + decision tree demo
5		pipeline demo visualization demo streamlit demo
6	naive bayes(Chapter 8) model evaluation(Chapter 8)
7	ensemble classifiers(Chapter 8)	ensemble+cross validation+evaluation demo demo recorded video
8	support vector machine(Chapter 9) Stacking Classifier	Stacking Classifier Demo
9	Spring Break	Spring Break
10	Advanced Concepts Dataset Issues Clustering(Chapter 10)
11	Clustering	Clustering Demo
12	Outlier Analysis(Chapter 12), Frequent Pattern Mining(Chapter 6)
13	Pitfalls of ML, Backprop
14	Backprop(Chapter 9)
15	Backprop

Quiz Syllabus

Quiz	Syllabus	Date
Quiz 1	getting to know your data, data preprocessing	January 20
Quiz 2	classification concepts, trees	February 3
Quiz 3	ensemble methods, naive bayes, model evaluation	February 24
Quiz 4	dataset issues, support vector machines, Stacking Classifiers	March 17
Quiz 5	clustering, frequent pattern mining, outlier analysis	March 31
Quiz 6	pitfalls of ml, backprop	TBD

Hands-on Exam Syllabus

Quiz	Syllabus	Date
Hands-on exam 1	on assignment 1 and assignment 2	February 21
Hands-on exam 2	on assignment 3 and assignment 4	April 18