scikit learn tutorial code example

Example 1: scikit learn pca

from sklearn.decomposition import KernelPCA
kpca = KernelPCA(n_components = 2, kernel = 'rbf')
X_train = kpca.fit_transform(X_train)
X_test = kpca.transform(X_test)

Example 2: scikit-learn tutorial

python3 -m venv sklearn-venvpython -m venv sklearn-venvpython -m venv sklearn-venvsource sklearn-venv/bin/activatesource sklearn-venv/bin/activatesklearn-venv\Scripts\activatepip 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

Example 3: 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__