data = [train_df, test_df] for dataset in data: dataset['Fare'] = dataset['Fare'].fillna(dataset['Fare'].mean()) dataset['Fare'] = dataset['Fare'].astype(int) dataset.loc[ dataset['Fare'] <= 7.91, 'Fare'] = 0 dataset.loc[(dataset['Fare'] > 7.91) & (dataset['Fare'] <...
Run the next code cell without changes to load a GeoDataFrameworldcontaining country boundaries. #This dataset is provided in GeoPandasworld_filepath = gpd.datasets.get_path('naturalearth_lowres') world=gpd.read_file(world_filepath) world.head() Use theworldandworld_loansGeoDataFrames to visual...
Taking everything into consideration, select the best-performing model and provide an analysis of the dataset. Generate appropriate visualizations to support your analysis and, finally, provide recommendations for the next steps for the company. (综合考虑,选择表现最佳的模型并对数据集进行分析。生成适当...
我选择用于分析的 EDA 是 lorinc 的 Feature Extraction From Images，selfishgene 的 Visualizing PCA with Leaf Dataset 以及 Jose Alberto 的 Fast Image Exploration。第一步最好先仔细瞧一瞧树叶的图像。selfishgene 检查树叶标本 Jose 绘制出各个种类的树叶，并指出每个种类有 10 张图片。他还观察了同类树叶间的...
classNameDataset(Dataset):#数据集类def__init__(self, is_train_set=True):train = pd.read_csv('train.tsv', sep='\t')# 分隔符是空格self.phrase = train['Phrase']self.sentiment = train['Sentiment']self.len=len(self.phrase)def__getitem__(self, index):returnself.phrase[index], self.se...
# 性别样本数据数据占⽐ 0代表⼥性 1代表男性 print(heart_df[sex].value_counts()) sns.countplot(y=sex,data=heart_df) plt.title(Sex Count in Dataset) plt.show() 1 207 0 96 Name: sex, dtype: int64 # 列名代表是否换⼼脏病 ⾏名代表性别 pd.crosstab(heart_df[sex],heart_df[target...
Credit card fraud detection dataset. Overview of Kaggle on Wikipedia. Credit card fraud datasets on Kaggle. Point-biserial correlation coefficient on Wikipedia. Victoria J. Hodge and Jim Austin, “A Survey of Outlier Detection Methodologies.” ...
###缺失值处理fordatasetindata_cleaner:#用中位数填充 dataset['Age'].fillna(dataset['Age'].median(),inplace=True)dataset['Embarked'].fillna(dataset['Embarked'].mode()[0],inplace=True)dataset['Fare'].fillna(dataset['Fare'].median(),inplace=True)#删除部分数据 ...
Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.
setwd("E:/kaggle/us-mass-shootings-last-50-years") rm(list = ls()) library(tidyverse) library(stringr) library(data.table) library(maps) library(lubridate) library(leaflet) shooting<-as.tibble(fread("Mass Shootings Dataset Ver 2.csv")) glimpse(shooting) 我们使用version2版本的数据,该数据在...