module_2_project:金县数据的线性回归分析以预测房价-源码

上传者: 42114046 | 上传时间: 2021-06-28 15:57:25 | 文件大小: 18.59MB | 文件类型: ZIP
第2单元最终项目 目标 该项目的目标是创建一个多元线性回归模型,以准确预测华盛顿州金县的房价。 笔记本设置 对于这个项目,我使用了常规的python库,地理映射库以及统计或回归库。 通用python库 导入json 导入matplotlib.pyplot作为plt 将numpy导入为np 将熊猫作为pd导入 进口泡菜 汇入 地理地图库 从branca.colormap导入线性 导入geopandas作为GPPD 从ipyleaflet导入地图,GeoData,底图,LayersControl,Chropleth,热图,FullScreenControl 从ipyleaflet导入WidgetControl,GeoJSON 从ipywidgets导入文本,HTML 从shapely.geometry导入点,多边形 统计和回归库 从scipy.stats导入zscore 从sk

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