Name: SalePrice, dtype: float64 没有改造过的普遍比改造过的略贵,从改造年份间隔差,间隔差越大,售价整体略微下降,但是也存在反例。 (19)屋顶类型(RoofStyle) Shed售价最高,Gambrel售价最低。 (20)屋顶材料(RoofMatl) WdShngl售价最高,Roll售价最低。 (21)房屋外墙(Exterior1st,Exterior2nd) 综合两个特征,...
read_csv('E:\kaggleDataset\\train(1).csv') figure=plt.figure() sns.pairplot(x_vars=['OverallQual','GrLivArea','YearBuilt','TotalBsmtSF'],y_vars=['SalePrice'],data=train_data,dropna=True) plt.show() 通过散点图的方式可以观察到一些可疑的异常值 对于GrLivArea与SalePrice的关系图,有两...
%matplotlib inlineimportnumpyasnpimportpandasaspdimporttorchfromtorchimportnnfromd2limporttorchasd2lfromtorch.utilsimportdatafrommatplotlibimportpyplotasplt#超参数调整区域batch_size=32learning_rate=0.001weight_decay=0num_epochs=200k=5# 我这里就直接读入了train_data=pd.read_csv('../data/kaggle_house_pred_...
cmap="YlGnBu",cbar=True,annot=True,square=True,fmt='.2f',annot_kws={'size':10},yticklabels=cols.values,xticklabels=cols.values)plt.show()k=10#number of variables for heatmapcols=corrmat.nlargest(k,'SalePrice')['SalePrice'].index...
Kaggle: House Prices: Advanced Regression Techniques notebook来自https://www.kaggle.com/neviadomski/how-to-get-to-top-25-with-simple-model-sklearn 思路流程: 1.导入数据,查看数据结构和缺失值情况 重点在于查看缺失值情况的写法: NAs = pd.concat([train.isnull().sum(), test.isnull().sum()],...
This research paper presents a thorough investigation into house price prediction utilizing a Kaggle dataset. Employing advanced machine learning techniques, the study seeks to provide valuable insights and methodologies within the field of real estate prediction. The analysis is based on a Kaggle ...
The housing dataset was loaded via Colab. The dataset is from Kaggle:https://www.kaggle.com/datasets/muhammadbinimran/housing-price-prediction-data(also please see housing_price_dataset.csv attached). Basic data analysis was performed to identify the shape of data, get column names, find missing...
Ask a home buyer to describe their dream house, and they probably won't begin with the height of the basement ceiling or the proximity to an east-west railroad. But thisdatasetproves that much more influences price negotiations than the number of bedrooms or a white-picket fence. ...
TheAmes Housing dataset(kaggle)was compiled by Dean De Cock for use in data science education.(载自 Kaggle 平台) 拿到数据我要做的有: 1,查看缺失值并极大可能的消减缺失值对分析的影响 2,对变量进行汇总,分析,作图 3,初步探索性分析,有聚类,因子,主成分分析 ...
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...