├── Auto_Insurance_Claims_amount.csv ├── Automobile_insurance_fraud.csv ├── Crime Prediction dataset.docx ├── Doctor_fee_consultation.zip ├── Flight_Ticket_Participant_Datasets-20190305T100527Z-001.zip ├── News_category_NLP.rar ├── Predict-The-Data-Scientists-Salary-In-India-Hackathon.zip ├── Restaurant_food_cost.rar ├── avocado.csv ├── avocado.csv.zip ├── baseball.csv ├── test_agriculture.xlsx ├── train_agriculture.csv └── train_agriculture.xlsx /Crime Prediction dataset.docx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dsrscientist/Data-Science-ML-Capstone-Projects/f1355afdf79ea741b32994d98aa54ade7691b3cc/Crime Prediction dataset.docx -------------------------------------------------------------------------------- /Doctor_fee_consultation.zip: -------------------------------------------------------------------------------- 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-------------------------------------------------------------------------------- /baseball.csv: -------------------------------------------------------------------------------- 1 | W,R,AB,H,2B,3B,HR,BB,SO,SB,RA,ER,ERA,CG,SHO,SV,E 2 | 95,724,5575,1497,300,42,139,383,973,104,641,601,3.73,2,8,56,88 3 | 83,696,5467,1349,277,44,156,439,1264,70,700,653,4.07,2,12,45,86 4 | 81,669,5439,1395,303,29,141,533,1157,86,640,584,3.67,11,10,38,79 5 | 76,622,5533,1381,260,27,136,404,1231,68,701,643,3.98,7,9,37,101 6 | 74,689,5605,1515,289,49,151,455,1259,83,803,746,4.64,7,12,35,86 7 | 93,891,5509,1480,308,17,232,570,1151,88,670,609,3.8,7,10,34,88 8 | 87,764,5567,1397,272,19,212,554,1227,63,698,652,4.03,3,4,48,93 9 | 81,713,5485,1370,246,20,217,418,1331,44,693,646,4.05,0,10,43,77 10 | 80,644,5485,1383,278,32,167,436,1310,87,642,604,3.74,1,12,60,95 11 | 78,748,5640,1495,294,33,161,478,1148,71,753,694,4.31,3,10,40,97 12 | 88,751,5511,1419,279,32,172,503,1233,101,733,680,4.24,5,9,45,119 13 | 86,729,5459,1363,278,26,230,486,1392,121,618,572,3.57,5,13,39,85 14 | 85,661,5417,1331,243,21,176,435,1150,52,675,630,3.94,2,12,46,93 15 | 76,656,5544,1379,262,22,198,478,1336,69,726,677,4.16,6,12,45,94 16 | 68,694,5600,1405,277,46,146,475,1119,78,729,664,4.14,5,15,28,126 17 | 100,647,5484,1386,288,39,137,506,1267,69,525,478,2.94,1,15,62,96 18 | 98,697,5631,1462,292,27,140,461,1322,98,596,532,3.21,0,13,54,122 19 | 97,689,5491,1341,272,30,171,567,1518,95,608,546,3.36,6,21,48,111 20 | 68,655,5480,1378,274,34,145,412,1299,84,737,682,4.28,1,7,40,116 21 | 64,640,5571,1382,257,27,167,496,1255,134,754,700,4.33,2,8,35,90 22 | 90,683,5527,1351,295,17,177,488,1290,51,613,557,3.43,1,14,50,88 23 | 83,703,5428,1363,265,13,177,539,1344,57,635,577,3.62,4,13,41,90 24 | 71,613,5463,1420,236,40,120,375,1150,112,678,638,4.02,0,12,35,77 25 | 67,573,5420,1361,251,18,100,471,1107,69,760,698,4.41,3,10,44,90 26 | 63,626,5529,1374,272,37,130,387,1274,88,809,749,4.69,1,7,35,117 27 | 92,667,5385,1346,263,26,187,563,1258,59,595,553,3.44,6,21,47,75 28 | 84,696,5565,1486,288,39,136,457,1159,93,627,597,3.72,7,18,41,78 29 | 79,720,5649,1494,289,48,154,490,1312,132,713,659,4.04,1,12,44,86 30 | 74,650,5457,1324,260,36,148,426,1327,82,731,655,4.09,1,6,41,92 31 | 68,737,5572,1479,274,49,186,388,1283,97,844,799,5.04,4,4,36,95 -------------------------------------------------------------------------------- /test_agriculture.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dsrscientist/Data-Science-ML-Capstone-Projects/f1355afdf79ea741b32994d98aa54ade7691b3cc/test_agriculture.xlsx -------------------------------------------------------------------------------- /train_agriculture.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dsrscientist/Data-Science-ML-Capstone-Projects/f1355afdf79ea741b32994d98aa54ade7691b3cc/train_agriculture.xlsx 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