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大家好，很高兴来到了2021年战胜机器学习纸老虎-第二周 决策树（一）的内容时间。我一步一步从简单的例子，进入机器学习的世界。（PPT大小限制，压缩了会变形，就...
接触机器学习已经3年多，书是看了几本，网课也上了不少节，但由于没有真实应用，还停留在抄代码的阶段，一直没能进步。到了21年立flag的日子，就拿出它来，与自己约...
背景：由于工作原因，需要根据excel表格里的不同数据，配置不同颜色或样式给领导，由于excel有多张表格，并且是每个月都要做的工作，故考虑用Python实现。
迟迟未进入机器学习领域，深感不安，但千里之行，始于足下，管他年龄30已过，还是其它什么，只要想做，只要不服输，未来还有三十年的征程。
在科技发展的今天，很多事情人们都不再亲力亲为，要么交给了专业人士，要么交给了机器。于是有一部分人称为了专业人士，一部分人成了专业忽悠，一部分人去捣鼓机器，然后一...
In this recipe, we're going to show how you can keep your model around for a lat...
We're going to work with some ideas similar to those we saw in the recipe on Las...
This recipe along with the two following it will be centered around automatic fe...
We learned about quantifying the error in classification, now we'll discuss quan...
This recipe is about creating fake estimators; this isn't the pretty or exciting...
In this recipe, we'll do an exhaustive grid search through scikit-learn. This is...
In this recipe, we're going to introduce grid search with basic Python, though w...
In this recipe, we'll quickly look at stratified k-fold valuation. We've walked ...
ShuffleSplit is one of the simplest cross validation techniques. This cross vali...
We've looked at the using cross validation iterators that scikit-learn comes wit...
In this recipe, we'll create, quite possibly, the most important post-model vali...
This chapter will cover the following recipes:这章将包含以下部分：
Label propagation is a semi-supervised technique that makes use of the labeled a...
Naïve Bayes is a really interesting model. It's somewhat similar to k-NN in the ...
As was discussed in Chapter 2, Working with Linear Models, Stochastic Gradient D...
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