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01_内容回顾.flv | 2022-09-03 11:50:06 | 22.42 MB | |
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02_电商数据回归分析.flv | 2022-09-03 11:50:06 | 30.06 MB | |
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03_分类问题算法概述.flv | 2022-09-03 11:50:06 | 41.63 MB | |
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04_用户流失分析思路说明.flv | 2022-09-03 11:50:06 | 32 MB | |
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05_用户流失分析代码实现和结果分析.flv | 2022-09-03 11:50:06 | 68.29 MB | |
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06_分类问题使用场景总结.flv | 2022-09-03 11:50:06 | 27.21 MB | |
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07_优惠券使用预测.flv | 2022-09-03 11:50:06 | 39.47 MB | |
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08_关联规则基本概念.flv | 2022-09-03 11:50:06 | 66.43 MB | |
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09_关联规则实现.flv | 2022-09-03 11:50:06 | 19.46 MB | |
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10_公式建模类算法总结.flv | 2022-09-03 11:50:06 | 28.55 MB | |
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11_异常点检测isolationforest.flv | 2022-09-03 11:50:06 | 69.05 MB | |
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12_异常点检测isolationforest代码实现.flv | 2022-09-03 11:50:06 | 29.1 MB | |
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13_异常点检测isolationforest可视化.flv | 2022-09-03 11:50:06 | 41.68 MB | |
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14_非结构化数据的处理.flv | 2022-09-03 11:50:06 | 62.63 MB | |
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15_Pandas的API介绍1.flv | 2022-09-03 11:50:06 | 87.96 MB | |
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16_Pandas的API介绍2.flv | 2022-09-03 11:50:06 | 34.96 MB | |
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17_Pandas的API介绍3.flv | 2022-09-03 11:50:06 | 67.12 MB |