CIS335 Course Contents

Syllabus

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Question Bank

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Question bank answer sheet

Assignments

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In Class Practice Sheets

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Weekly Lecture Contents

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Group Project Documents

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Project Report Template

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

Quiz Syllabus

QuizSyllabusDate
Quiz 1getting to know your data, data preprocessing, data reduction, PCA classification concepts, treesFebruary 9
Quiz 2ensemble methods, naive bayes, model evaluation, dataset issues, support vector machinesMarch 23
Quiz 3clustering, frequent pattern mining, outlier analysis,pitfalls of ml, backpropApril 13

Hands-on Exam Syllabus

QuizSyllabusDate
Hands-on exam 1on assignment 1 and assignment 2February 30
Hands-on exam 2on assignment 3 and assignment 4April 10