通过看其他人在kaggle上分享的notebook以及自己的一些理解,记录一下Linear Regression的学习过程,也算是完成作业中的report.pdf。 二、Linear Regression(预测PM2.5) 1、准备工作 (1)作业要求(如图一所示) 图一 (2)train.csv、test.csv 链接:https://pan.baidu.com/s/1ZeOASD7SdyMUYwjo0uDaqA 提取码:0gho ...
让我们用LogisticRegression类来预测: importpandas as pdfromsklearn.feature_extraction.textimportTfidfVectorizerfromsklearn.linear_model.logisticimportLogisticRegressionfromsklearn.cross_validationimporttrain_test_split 首先,用pandas加载数据.csv文件,然后用train_test_split分成训练集(75%)和测试集(25%): df =...
Here are some charts I've got with that code: Thegeneralized linear modelhas the same implementation as the general linear regression, pointed above, because the general linear model is just a special case. The generalized linear model allows applying a function on the output and that's about...
Explore and run machine learning code with Kaggle Notebooks | Using data from Regression with a Flood Prediction Dataset
Explore and run machine learning code with Kaggle Notebooks | Using data from Housing Prices, Portland, OR
问用MinMaxScaler LinearRegression训练模型后预测实际效果EN“ 数据挖掘算法基于线性代数、概率论、信息论...
Linear regression, a special case of ridge regression, has many real-world applications. For comparisons, use the well-knownHouse Sales in King County, USA datasetfromKaggle*. This dataset is used to predict house prices based on one year of sales data from King County. ...
The results show that it significantly improved the TPR of generalized linear models, such as L-SVM, LDA, and Logistic regression, which run fast but pursue data points being linearly separable on the whole. With Nyström method, the TPR of these models were promoted by more than 15%. ...
Therefore, the final model can be written as a binary regression tree with linear models in the leaf nodes. The coefficients of these linear models in the leaf nodes are given by the sum of the coeffi- cients of all linear models along the path from the root to the leaf node. Our ...
Explore and run machine learning code with Kaggle Notebooks | Using data from House Price Prediction Challenge