A useful tool to Exploratory Data Analysis
Project description
1,Introduction
The easyeda is a simple but useful tool to do Exploratory Data Analysis in Machine Learning. It can be used in both classification task and regression task.
2,Use Example
from easyeda import eda
import pandas ad pd
from sklearn import datasets
from sklearn.model_selection import train_test_split
##
boston = datasets.load_boston()
df = pd.DataFrame(boston.data,columns = boston.feature_names)
df["label"] = boston.target
dftrain,dftest = train_test_split(df,test_size = 0.3)
dfeda = eda(dftrain,dftest,language="Chinese")
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