特征探索:https://www.kaggle.com/elcorazonzhao/house-prices-model
竞赛网址:https://www.kaggle.com/ 1.问题描述 基于竞赛方所提供的爱荷华州埃姆斯的住宅数据信息,预测每间房屋的销售价格。 很明显这是一个回归问题!! 2.数据收集 Kaggle赛事方为我们提供了本次比赛所需的数据集,主要包括训练模型所需的训练数据集(train.csv),以及用于测试模型性能的测试数据集(test.csv),在赛事...
DATA_HUB['kaggle_house_train']=(#@saveDATA_URL+'kaggle_house_pred_train.csv','585e9cc93e70b39160e7921475f9bcd7d31219ce')DATA_HUB['kaggle_house_test']=(#@saveDATA_URL+'kaggle_house_pred_test.csv','fa19780a7b011d9b009e8bff8e99922a8ee2eb90') df_train=pd.read_csv(download('kaggle...
#Kaggle: House Prices: Advanced Regression Techniquesimportnumpy as npimportpandas as pdimportmatplotlib.pyplot as pltimportseaborn as snsfromsklearnimportensemble, linear_model, treefromsklearn.model_selectionimporttrain_test_split, cross_val_scorefromsklearn.metricsimportmean_squared_error, r2_scorefrom...
dataset - 原始数据文件,包括以下四个文件 train.csv test.csv data_description.txt sample_submission.csv EDA.ipynb - 特征工程代码 House_Price_Forecast_Model.ipynb - 模型预测代码 test_params.ipynb - 模型调参代码 https://www.kaggle.com/c/house-prices-advanced-regression-techniques ...
House Prices: Advanced Regression Techniques This goal of this project was to predict sales prices and practice feature engineering, RFs, and gradient boosting. The dataset was part of the House Prices Kaggle Competition. View the project using nbviewer Table of Contents 1 Summary 2 Introduction ...
In addition to these data, we validated our algorithm on the KAGGLE house dataset, which covers a wide range of features. The results of the hybrid algorithm were compared using multiple linear regression, Lasso, ridge regression, Support Vector Regression (SVR), AdaBoost, decision tree, random...
Kaggle赛事方为我们提供了本次比赛所需的数据集,主要包括训练模型所需的训练数据集(train.csv),以及用于测试模型性能的测试数据集(test.csv),在赛事的链接里可以下载到这两个数据集。 每一条数据记录表示的是每间房屋的相关信息,其中训练数据和测试数据分别各有1460条,数据的特征列有79个,其中35个是数值类型的,...
dataset link : House Prices: Advanced Regression Techniques 2、Feature Exploration importpandasaspdimportmatplotlib.pyplotaspltimportseabornassnsimportnumpyasnpfromscipy.statsimportnormfromsklearn.preprocessingimportStandardScalerfromscipyimportstatsimportwarningswarnings.filterwarnings('ignore')%matplotlibinlinef=open...
kaggle 竞赛入门对于刚刚入门机器学习的的同学来说,kaggle竞赛通常是他们学习和跟其他的全世界范围内的参赛选手切磋的一个大的平台,这个平台上提供了一些入门的竞赛,可以供刚入门的同学一展拳脚 本文针对房价预测的这个竞赛展开,从EDA,特征工程,到模型调参开始讲述一些竞赛中的小的trick,希望对大家有些帮助,本人基础...