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How to reshape data from long to wide format
...mes(df) <- unique(dat1$name)
df
sqldf package:
library(sqldf)
sqldf('SELECT name,
MAX(CASE WHEN numbers = 1 THEN value ELSE NULL END) x1,
MAX(CASE WHEN numbers = 2 THEN value ELSE NULL END) x2,
MAX(CASE WHEN numbers = 3 THEN value ELSE NULL END) x3,
MAX(CASE WHEN numbe...
如何选择机器学习算法 - 大数据 & AI - 清泛网移动版 - 专注IT技能提升
...aking sure to try different parameters within each algorithm as well), and select the best one by cross-validation. But if you’re simply looking for a “good enough” algorithm for your problem, or a place to start, here are some general guidelines I’ve found to work well over the year...
如何选择机器学习算法 - 大数据 & AI - 清泛网移动版 - 专注IT技能提升
...aking sure to try different parameters within each algorithm as well), and select the best one by cross-validation. But if you’re simply looking for a “good enough” algorithm for your problem, or a place to start, here are some general guidelines I’ve found to work well over the year...
如何选择机器学习算法 - 大数据 & AI - 清泛网移动版 - 专注IT技能提升
...aking sure to try different parameters within each algorithm as well), and select the best one by cross-validation. But if you’re simply looking for a “good enough” algorithm for your problem, or a place to start, here are some general guidelines I’ve found to work well over the year...
如何选择机器学习算法 - 大数据 & AI - 清泛网移动版 - 专注IT技能提升
...aking sure to try different parameters within each algorithm as well), and select the best one by cross-validation. But if you’re simply looking for a “good enough” algorithm for your problem, or a place to start, here are some general guidelines I’ve found to work well over the year...
如何选择机器学习算法 - 大数据 & AI - 清泛网移动版 - 专注IT技能提升
...aking sure to try different parameters within each algorithm as well), and select the best one by cross-validation. But if you’re simply looking for a “good enough” algorithm for your problem, or a place to start, here are some general guidelines I’ve found to work well over the year...
如何选择机器学习算法 - 大数据 & AI - 清泛网移动版 - 专注IT技能提升
...aking sure to try different parameters within each algorithm as well), and select the best one by cross-validation. But if you’re simply looking for a “good enough” algorithm for your problem, or a place to start, here are some general guidelines I’ve found to work well over the year...
如何选择机器学习算法 - 大数据 & AI - 清泛网移动版 - 专注IT技能提升
...aking sure to try different parameters within each algorithm as well), and select the best one by cross-validation. But if you’re simply looking for a “good enough” algorithm for your problem, or a place to start, here are some general guidelines I’ve found to work well over the year...
如何选择机器学习算法 - 大数据 & AI - 清泛网移动版 - 专注IT技能提升
...aking sure to try different parameters within each algorithm as well), and select the best one by cross-validation. But if you’re simply looking for a “good enough” algorithm for your problem, or a place to start, here are some general guidelines I’ve found to work well over the year...
如何选择机器学习算法 - 大数据 & AI - 清泛网移动版 - 专注IT技能提升
...aking sure to try different parameters within each algorithm as well), and select the best one by cross-validation. But if you’re simply looking for a “good enough” algorithm for your problem, or a place to start, here are some general guidelines I’ve found to work well over the year...