Implement following algorithms on given dataset (Nave Bayes, K-Nearest Neighbor, Decision Tree, Linear Regression)

1: Data Set price size 201800 1160 538000 2570 180000 770 604000 1960 510000 1680 1225000 5420 257500 1715 291850 1060 229500 1780 323000 1890 662500 3560 468000 1160 310000 1430 400000 1370 530000 1810 650000 2950 395000 1890 485000 1600 189000 1200 230000 1250

2: Data Set

Serial No.	GRE Score	TOEFL Score	University Rating	SOP	LOR	CGPA	Research	Chance of Admit
1	337	118	4	4.5	4.5	9.65	1	0.92
2	324	107	4	4	4.5	8.87	1	0.76
3	316	104	3	3	3.5	8	1	0.72
4	322	110	3	3.5	2.5	8.67	1	0.8
5	314	103	2	2	3	8.21	0	0.65
6	330	115	5	4.5	3	9.34	1	0.9
7	321	109	3	3	4	8.2	1	0.75
8	308	101	2	3	4	7.9	0	0.68
9	302	102	1	2	1.5	8	0	0.5
10	323	108	3	3.5	3	8.6	0	0.45
11	325	106	3	3.5	4	8.4	1	0.52
12	327	111	4	4	4.5	9	1	0.84