install sklearn
pip install scikit-learn
import sklearn
import sklearn
import pandas as pd
from sklearn import datasets
iris=datasets.iris()
scikit-learn tutorial
python3 -m venv sklearn-venvpython -m venv sklearn-venvpython -m venv sklearn-venvsource sklearn-venv/bin/activatesource sklearn-venv/bin/activatesklearn-venvScriptsactivatepip install -U scikit-learnpip install -U scikit-learnpip install -U scikit-learnpip3 install -U scikit-learnconda create -n sklearn-envconda activate sklearn-envconda install scikit-learn
sklearn - check the name of a machine learning
# Define the model
model1 = LogisticRegression()
# Check the name of the model
# It is useful when we are dealing with many alternative models
model1.__class__.__name__
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