像Excel一样用Python | Pandas库入门教程 | 快速掌握 57:14 Time Series:用数据分析现状与预测未来,掌握它比什么都重要! -- Live 01:04:48 SQL面试指南:数据岗位面试详解——附五大 Data Analysis 案例分析及数据库面试常见解题思路 01:04:48 Business Analyst 需要知道的统计和modeling小知识 49:33 Data...
dfresult['Cabin_null']=pd.isna(dfdata['Cabin']).astype('int32')#Embarked dfEmbarked=pd.get_dummies(dfdata['Embarked'],dummy_na=True)dfEmbarked.columns=['Embarked_'+str(x)forxindfEmbarked.columns]dfresult=pd.concat([dfresult,dfEmbarked],axis=)return(dfresult)x_train=preprocessing(dftrain...
PCA通过创建一个替换的较小的变量集组合属性的基本要素。具体原理及python的实现过程可以参考这篇blogImplementing a Principal Component Analysis (PCA) in Python step by step 我们可以直接使用scikit-learn的PCA函数进行维规约 1 X = df.values[:, 1::]2 y =df.values[:, 0]3 variance_pct = .994#Crea...
生存预测python #生存预测:Python 及其应用生存预测(Survival Prediction)是一种用于分析个体在特定时间段内生存的可能性或发生事件的时间的统计学方法。在医学、金融和社会科学等领域,生存预测的应用尤为广泛。生存预测不仅可以帮助研究人员了解疾病的进展和治疗效果,还可以辅助决策,提高资源的利用效率。 本文将介绍如何使用...
https://www.kaggle.com/arthurtok/introduction-to-ensembling-stacking-in-python 我用了逻辑回归、K近邻、支持向量机、梯度提升树作为第一层模型,随机森林作为第二层模型。 1fromsklearn.model_selectionimportStratifiedKFold2n_train=train.shape[0]3n_test=test.shape[0]4kf=StratifiedKFold(n_splits=5,rando...
1 more_vert Titanic - Data Analysis Logs check_circle Successfully ran in 29.3s Accelerator None Environment Latest Container Image Output 0 B Something went wrong loading notebook logs. If the issue persists, it's likely a problem on our side. ...
Python Competition Notebook Titanic - Machine Learning from Disaster Public Score 0.62200 Best Score 0.76315 V12 License This Notebook has been released under the Apache 2.0 open source license. Continue exploring Input1 file arrow_right_alt Output1 file arrow_right_alt Logs117.2 second run - succ...
titanic-analysis_1.html titanic-analysis_1.ipynb titanic-data.csv README 项目概述 在本项目中,将会分析 泰坦尼克号数据集,将会使用 Python 库 NumPy、Pandas 和 Matplotlib 。 本项目效果展示 http://lilyalove.com/titanic_data_analysis/titanic-analysis_1.html ...
join(os.listdir('../A Data Science Framework'))) # Any results you write to the current directory are saved as output Python version: 3.7.4 (default, Aug 9 2019, 18:34:13) [MSC v.1915 64 bit (AMD64)] pandas version: 0.25.1 matplotlib version: 3.1.0 NumPy version: 1.16.5 ...
2.Split Training and Testing Data train1_x, test1_x, train1_y, test1_y = model_selection.train_test_split(data1[data1_x_calc], data1[Target], random_state = 0) 3.Perform Exploratory Analysis with Statistics for x in data1_x: ...