线性回归是基本的统计和机器学习技术之一。经济，计算机科学，社会科学等等学科中，无论是统计分析，或者是机器学习，还是科学计算，都有很大的机会需要用到线性模型。建议先学习它，然后再尝试更复杂的方法。...

The least absolute shrinkage and selection operator (LASSO) method is very similar to ridge regression and LARS. It's similar to Ridge Regression in the sense t...

In this recipe, we'll learn about ridge regression. It is different from vanilla linear regression;it introduces a regularization parameter to "shrink" the coef...

In this recipe, we'll look at how well our regression fits the underlying data. We fit a regression in the last recipe, but didn't pay much attention to how wel...

Now, we get to do some modeling! It's best to start simple; therefore, we'll look at linear regression first. Linear regression is the first, and therefore, pro...

最近在学习Pytorch，对于每个部分有大致了解，但没有整体的逻辑框架，这篇文章虽然是翻译的，但有条理的带大家认识了Pytorch构建模型并进行训练的一般步骤和流程，一步一步的将用Numpy搭建的逻辑回归模型来通过Pytorch进行高效...

本人近期开始尝试基于pytorch框架，从原理上理解深度学习。在这几个demo中将会展示一些基本的操作及其效果，并基于个人的一点粗浅理解进行原理描述，如有不当之处还请指正。...

In this chapter, we will cover the following topics:在这章，将涵盖以下主题：

TF-Neural Networkimport tensorflow as tfimport numpy as npfrom matplotlib import pyplot as plt#构建隐藏层build the hidden layerdef add_layter(inputs,in_size,ou...

摘要：对于数据挖掘项目，本文将学习如何建模调参？从简单的模型开始，如何去建立一个模型；如何进行交叉验证；如何调节参数优化等。