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spark-ml-graph_day04_regression_20191021

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spark-ml-graph_day04_regression_20191021/03_笔记/D-多元回归模型.png 30 KB
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spark-ml-graph_day04_regression_20191021/03_笔记/F-逻辑回归函数.png 33 KB
spark-ml-graph_day04_regression_20191021/03_笔记/ML_GraphX_Day04:Regression.md 33 KB
spark-ml-graph_day04_regression_20191021/06_资料/现实与理想机器学习.jpg 33 KB
spark-ml-graph_day04_regression_20191021/03_笔记/A-简单线性回归方程(演变).png 34 KB
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spark-ml-graph_day04_regression_20191021/03_笔记/C-损失函数和代价函数.png 55 KB
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spark-ml-graph_day04_regression_20191021/03_笔记/B-线性回归公式说明.png 58 KB
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spark-ml-graph_day04_regression_20191021/03_笔记/E-代价函数及GD梯度下降.png 67 KB
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spark-ml-graph_day04_regression_20191021/05_代码/day03-features.zip 171 KB
spark-ml-graph_day04_regression_20191021/06_资料/机器学习路线图.jpg 556 KB
spark-ml-graph_day04_regression_20191021/01_讲义/0401-(线性回归和逻辑回归)SparkMllib回归问题理论及实战.pdf 3.6 MB
spark-ml-graph_day04_regression_20191021/02_视频/03-特征工程:PCA降维和ChiSqSelector选择.itcast 13.2 MB
spark-ml-graph_day04_regression_20191021/07_数据/datas.zip 17.1 MB
spark-ml-graph_day04_regression_20191021/02_视频/08-今天课程内容提纲:线性回归和逻辑回归.itcast 19.7 MB
spark-ml-graph_day04_regression_20191021/02_视频/11-线性回归原理:损失、代价及目标函数.itcast 20.4 MB
spark-ml-graph_day04_regression_20191021/02_视频/20-目标函数最优解求法:牛顿法.itcast 21.5 MB
spark-ml-graph_day04_regression_20191021/02_视频/09-线性回归原理:回归模型引入.itcast 22.4 MB
spark-ml-graph_day04_regression_20191021/02_视频/16-线性回归案例(官方):房价预测(标准化特征).itcast 24.2 MB
spark-ml-graph_day04_regression_20191021/02_视频/13-线性回归原理:BGD、SGD及MBGD.itcast 27.7 MB
spark-ml-graph_day04_regression_20191021/02_视频/19-官方案例代码演示(Lasso和Ridge回归).itcast 28.6 MB
spark-ml-graph_day04_regression_20191021/02_视频/01-昨日课程内容回顾:基于DataFrame API构建ALS模型.itcast 30.9 MB
spark-ml-graph_day04_regression_20191021/02_视频/17-线性回归模型评估指标.itcast 38.9 MB
spark-ml-graph_day04_regression_20191021/02_视频/14-回顾多元线性回归算法要点核心.itcast 44.4 MB
spark-ml-graph_day04_regression_20191021/02_视频/18-线性回归算法(代价函数)正则化.itcast 47.2 MB
spark-ml-graph_day04_regression_20191021/02_视频/02-昨日课程内容回顾:特征工程.itcast 53.9 MB
spark-ml-graph_day04_regression_20191021/02_视频/06-波士顿房价预测,构建回归模型(二).itcast 58.5 MB
spark-ml-graph_day04_regression_20191021/02_视频/15-线性回归案例(官方):房价预测(基本算法).itcast 58.5 MB
spark-ml-graph_day04_regression_20191021/02_视频/22-逻辑回归算法(sigmod函数及牛顿法).itcast 59.9 MB
spark-ml-graph_day04_regression_20191021/02_视频/05-波士顿房价预测,构建回归模型(一).itcast 63.2 MB
spark-ml-graph_day04_regression_20191021/02_视频/07-回归实战案例:构建回归模型(基于DataFrame API).itcast 69.2 MB
spark-ml-graph_day04_regression_20191021/02_视频/12-线性回归原理:多元线性回归及梯度下降.itcast 71.3 MB
spark-ml-graph_day04_regression_20191021/02_视频/10-线性回归原理:线性回归公式(目标函数).itcast 73.4 MB
spark-ml-graph_day04_regression_20191021/02_视频/04-分类实战案例:构建分类模型(基于DataFrame API).itcast 76.6 MB
spark-ml-graph_day04_regression_20191021/02_视频/23-官方案例代码演示(逻辑回归二分类).itcast 77 MB
spark-ml-graph_day04_regression_20191021/02_视频/21-基于DataFrame API的线性回归模型案例演示.itcast 88.8 MB
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