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

Quiz Syllabus

Quiz	Syllabus	Date
Quiz 1	getting to know your data, data preprocessing	Section1: January 25, Section2: January 26
Quiz 2	classification concepts, trees	Section1: February 8, Section2: February 9
Quiz 3	naive bayes, model evaluation	Section1: February 22, Section2: February 23
Quiz 4	ensemble methods, support vector machines, KNN, Stacking Classifiers	Section1: March 14, Section2: March 15
Quiz 5	advanced concepts, dataset issues, clustering	Section1: March 28, Section2: March 29
Quiz 6	outlier analysis, pitfalls of ml, frequent pattern mining	Section1: April 11, Section2: April 12
Quiz 7	backprop	Section1: April 25(MAK B1118 2:00PM-3:20PM), Section2: April 24 (MAK B1116 8:30AM-9:50AM)

CIS335 Course Contents