CSE-435 Data Mining Lab

🕾 Mob. +8801912961096

Room: A-510 Desk No. : 06

Time Day	09:00 - 10:20	10:20 - 11:40	11:40 - 01:20	Break	01:30 - 02:50	02:50 - 04:10
Sat	CSE-435 212_D1 R: J-109	Research Time	CSE-436 212_D2 R: K-101
Sun	CSE-315 221_D10 R: A-605	Tutor Time	CSE-436 213_D1 R: A-501
Mon		Research Time			Weekly Academic Meeting
Tue	CSE-315 221_D10 R: A-605	Tutor Time			CSE 316 221_D20 R: K-109
Wed
	08:30 - 09:50	09:50 - 11:10	11:10 - 12:50	Break	02:00 - 03:20	03:20 - 04:40
Fri	CSE-435 212_D1 R: J-109	Tutor Time	CSE-436 212_D1 R: J-108

Class	Experiment Title	COs	Reference	Activities
1	Python Basics	1	Lab Manual 1	Experiments
2	Python Programming (Loop, Functions, Class and Object)	1	Lab Manual 2	Experiments
3	Data Preprocessing Techniques using Python	1	Lab Manual 3	Experiments
4	Statistical Analysis and Data Visualization using Python	1	Lab Manual 4	Experiments
5	Implementation of Apriori algorithm for frequent itemset mining	1	Lab Manual 5	Experiments
6	Implementation of Frequent Pattern Growth (FP-Growth) Algorithm using Python	2	Lab Manual 6	Experiments
7	Machine Learning Classification: Decision Trees, k-Nearest Neighbor Implementation using Python	3	Lab Manual 7	Experiments
8	Clustering: Implementation of K-Means Clustering Algorithm Using Python	3	Lab Manual 8	Experiments
9	Clustering: Implementation of DBSCAN Clustering Algorithm Using Python	3	Lab Manual 9	Experiments
10	Ensembles: Combining multiple models (bagging, boosting, stacking), Experiments using Python	1	Lab Manual 10	Experiments
11	Installing Weka 3 Data Mining System, Brief Intro to Weka, Basic use of Weka, Data loading, etc.	1	Lab Manual 11	Experiments
12	WEKA - Preprocessing, visualization, classification, evaluation experiments using Python	2	Lab Manual 12	Experiments
13	WEKA - Machine Learning Classifiers and Overfitting	2	Lab Manual 13	Experiments
14	Project Presentation and Viva	1, 2, 3		Presentation, Viva
15	Final Term Examination (Quiz, Lab Test, Viva, Project Presentation)	1, 2, 3