2025-09-30T1725_Grades-ITM_390.xlsx

	A	B	C	D	E	F
1	Student	ID	Group	Topic	Data link	Task
2	BAN, Samnang	3623	10			Classification
3	CHHAINGCHHENG , Marithina	4227	5	Online Shoppers Intention	https://www.kaggle.com/datasets/henrysue/online-shoppers-intention	Classification
4	CHHIN, Kakada	3384	2	Retail-sale	https://www.kaggle.com/datasets/mohammadtalib786/retail-sales-dataset	Regression
5	CHRUN, Bunnarin	4180	1	Predicting Credit Card Fraud	https://www.kaggle.com/datasets/parvmodi/automotive-vehicles-engine-health-dataset	Classification
6	DIEP, Thavy	4097	7	E-Commerce Fraud Detection	E-Commerce Fraud	Classification
7	DY, Nobsokun	3234	10
8	FONG, Yean	3995	8	Analyzing biological factors for diagnosing Diabetes	https://pmc.ncbi.nlm.nih.gov/articles/PMC10107388/ and https://github.com/tansin-nabil/Diabetes-Prediction-Using-Machine-Learning	Classification
9	HAK, Sokchamroeun	4194	4	Students' Grade Prediction	https://www.kaggle.com/datasets/willianoliveiragibin/games-and-students	Regression
10	HAM, Sovanrothnan	3212	3	Loan Approval Prediction	https://www.kaggle.com/datasets/architsharma01/loan-approval-prediction-dataset	Classification
11	HENG, Soleakna	3315	3	Loan Approval Prediction	https://www.kaggle.com/datasets/architsharma01/loan-approval-prediction-dataset	Classification
12	HIENG, Dara	3255	8	Analyzing biological factors for diagnosing Diabetes	https://www.kaggle.com/datasets/alexteboul/diabetes-health-indicators-dataset?select=diabetes_binary_5050split_health_indicators_BRFSS2015.csv	Classification
13	KAY, Kaknika	4212	7	E-Commerce Fraud Detection	E-Commerce Fraud
14	KEATHA, Mesa	4017	7	E-Commerce Fraud Detection	E-Commerce Fraud	Classification
15	KY, Reaksa	3403	9	Diabetes Prediction	https://www.kaggle.com/datasets/mrsimple07/diabetes-prediction	Classification
16	LIM, Darichhy	3613	9	Diabetes Prediction	https://www.kaggle.com/datasets/mrsimple07/diabetes-prediction	Classification
17	LOEUNG, Chhumsomary	3716	1	Predicting Credit Card Fraud	https://www.kaggle.com/datasets/parvmodi/automotive-vehicles-engine-health-dataset
18	MAIY, Leangngim	3409	9	Diabetes Prediction	https://www.kaggle.com/datasets/mrsimple07/diabetes-prediction	Classification
19	NHEN, Sophamony	4055	7	E-Commerce Fraud Detection	E-Commerce Fraud	Classification
20	PHENG, Socheata	3245	3	Loan Approval Prediction	https://www.kaggle.com/datasets/architsharma01/loan-approval-prediction-dataset	Classification
21	PROM, Visothea	4229	4	Students' Grade Prediction	Games and Students	Regression
22	PUN, Savantreach	4224	4	Students' Grade Prediction	https://www.kaggle.com/datasets/willianoliveiragibin/games-and-students	Regression
23	REN, Vireakyuth	3965	6	Sleep Disorder Diagnosis	Dataset	Classification
24	SANG, Sokewin	4223	6	Sleep Disorder Diagnosis	Dataset	Classification
25	SAY, Kimlong	4125	6	Sleep Disorder Diagnosis	Dataset	Classification
26	SEK, Eklim	4023	5	Online Shoppers Intention	https://www.kaggle.com/datasets/henrysue/online-shoppers-intention	Classification
27	SENG, Sokpanha	3825
28	SOPHAL, Samrach	3641	10
29	SOY, Ousa	4239	5	Online Shoppers Intention	https://www.kaggle.com/datasets/henrysue/online-shoppers-intention	Classification
30	VAN, Meysorng	3308	8	Analyzing biological factors for diagnosing Diabetes	https://pmc.ncbi.nlm.nih.gov/articles/PMC10107388/ and https://github.com/tansin-nabil/Diabetes-Prediction-Using-Machine-Learning	Classification
31	YORN , Rothana	4218	1	Predicting Credit Card Fraud	https://www.kaggle.com/datasets/parvmodi/automotive-vehicles-engine-health-dataset	Classification
32
33	Example
34	John Wick	168	999	Crime rate prediction in USA	(provide the link)	Regression
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