load dataset X = pd.DataFrame(data.data, columns=data.features)
from sklearn.datasets import load_iris
import pandas as pd
data = load_iris()
df = pd.DataFrame(data.data, columns=data.feature_names)
df.head()load dataset X = pd.DataFrame(data.data, columns=data.features)
from sklearn.datasets import load_iris
import pandas as pd
data = load_iris()
df = pd.DataFrame(data.data, columns=data.feature_names)
df.head()read csv uisng pandas
import pandas as pd #import pandas
#syntax: pd.read_csv('file_location/file_name.csv')
data = pd.read_csv('filelocation/fileName.csv') #reading data from csvCopyright © 2021 Codeinu
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