521 to 530 of 593 结果
MS Excel - 983.2 KB - MD5: c7dfbcebac9756b0abb1ddc083b09616
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MS Excel - 469.2 KB - MD5: 69371a50800bb25cddd530ea37a83163
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Unknown - 625.3 MB - MD5: 73d5449af6b8a9922b557f0cc65d0730
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Plain Text - 40.7 KB - MD5: 4734e3d8c1e5ba51bd32ebf8497ec558
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Plain Text - 293.4 MB - MD5: efd4aeae644ee64d6465bd87f316e2a6
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MS Word - 84.0 KB - MD5: cc528a90f38eb64d0f702172df129899
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2018-6-7 -
Seattle House Prices Hedonic Model
Plain Text - 5 B - MD5: ae3b3df9970b49b6523e608759bc957d
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2018-6-7 -
Seattle House Prices Hedonic Model
Shapefile as ZIP Archive - 168.0 KB - MD5: 7fed065cca242f02a33a48ed9e6174ab
西雅图沼泽 |
2018-6-7 -
Seattle House Prices Hedonic Model
Shapefile as ZIP Archive - 1.9 KB - MD5: ee6686f68946a1c94c01401a4c8089ea
西雅图区域底图数据
数据来源:https://data.seattle.gov |
2018-6-7 -
Seattle House Prices Hedonic Model
MS Excel - 3.2 MB - MD5: 9c1494861d8105dad436cc010e4a5539
西雅图房屋价格销售记录
数据来源:https://www.kaggle.com/harlfoxem/housesalesprediction/data
数据处理:
1.有序数据二值化
将填充过后的yr_renovated(重装修年份)转换为标称数据,0代表未重新装修过,1代表重新装修过。
2.去除离群值
根据在数据理解中所发现的bedrooms, sqft_lot, sqft_living以及sqft_lot15, sqft_living15变量存在的离群点进行识别,将其删除。
3.日期数据格式问题
对日期原本字符串“YYYYMMDDT... |