机器学习|多项式回归算法详解 (Python 语言描述)
机器学习 / 多项式回归
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机器学习|多项式回归算法详解 (Python 语言描述)

多项式回归介绍

在线性回归中，我们通过建立自变量 x 的一次方程来拟合数据。而非线性回归中，则需要建立因变量和自变量之间的非线性关系。从直观上讲，也就是拟合的直线变成了「曲线」。

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BPR CNN Deep learning ECS Gradient Descent HAC MAE MAPE MF MSE Neural Style Transfer RS Seafile TensorFlow Ubuntu VGG19 artificial neural network bagging blog boosting cluster decision tree deep learning github jekyll k-means k-nearest neighbors linear regression machine learning naive bayes next perceptron polynomial regression python sort support vector machine

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BPR 1
CNN 1
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Gradient Descent 2
HAC 1
MAE 1
MAPE 1
MF 1
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Neural Style Transfer 1
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Seafile 1
TensorFlow 1
Ubuntu 2
VGG19 1
artificial neural network 1
bagging 1
blog 2
boosting 1
cluster 1
decision tree 1
deep learning 1
github 2
jekyll 1
k-means 2
k-nearest neighbors 1
linear regression 2
machine learning 15
naive bayes 1
next 1
perceptron 1
polynomial regression 1
python 16
sort 2
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最新文章

归档

标签

BPR 1
CNN 1
Deep learning 1
ECS 2
Gradient Descent 2
HAC 1
MAE 1
MAPE 1
MF 1
MSE 1
Neural Style Transfer 1
RS 1
Seafile 1
TensorFlow 1
Ubuntu 2
VGG19 1
artificial neural network 1
bagging 1
blog 2
boosting 1
cluster 1
decision tree 1
deep learning 1
github 2
jekyll 1
k-means 2
k-nearest neighbors 1
linear regression 2
machine learning 15
naive bayes 1
next 1
perceptron 1
polynomial regression 1
python 16
sort 2
support vector machine 1
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