说到特征降维/选择的问题，大部分EDA的套路都是从model训练的loss来判断feature importance。其实有一个简单易行而且很有效的办法是在CV里面用做feature permutation，对原始特征shuffle得到shadow（也可以加一些噪音），在通过zscore比较两者差异来判断importance，不断遍历筛选。在ESLII中593页有提到这个办法。R里面有一个包Boruta可以做这件事，py也有：https://github.com/scikit-learn-contrib/boruta_py
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You guessed it – the internet is your friend. A good place to start looking for Telegram channels is Reddit. This is one of the biggest sites on the internet, with millions of communities, including those from Telegram.Then, you can search one of the many dedicated websites for Telegram channel searching. One of them is telegram-group.com. This website has many categories and a really simple user interface. Another great site is telegram channels.me. It has even more channels than the previous one, and an even better user experience.These are just some of the many available websites. You can look them up online if you’re not satisfied with these two. All of these sites list only public channels. If you want to join a private channel, you’ll have to ask one of its members to invite you.
The seemingly negative pandemic effects and resource/product shortages are encouraging and allowing organizations to innovate and change.The news of cash-rich organizations getting ready for the post-Covid growth economy is a sign of more than capital spending plans. Cash provides a cushion for risk-taking and a tool for growth.
Data Science Archive from ms