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翻译scikit-learn Cookbook

学习sklearn

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Using Stochastic Gradient Descent for classification使用随机梯度下降来分类

As was discussed in Chapter 2, Working with Linear Models, Stochastic Gradient Descent is a fundamental technique to fit a model for regression. There are natural connections between the two techniques, as the name so obviously implies.

到不了的都叫做远方

2019-12-05

4870

Kernel PCA for nonlinear dimensionality reduction核心PCA非线性降维

kernel 数据分析对象存储

Most of the techniques in statistics are linear by nature, so in order to capture nonlinearity,we might need to apply some transformation. PCA is, of course, a linear transformation.In this recipe, we'll look at applying nonlinear transformations, and then apply PCA for dimensionality reduction.

到不了的都叫做远方

2019-11-02

7410

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