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6.3. Preprocessing data — scikit-learn 1.5.0 do...
= [[ 'male' , 'from US' , 'uses Safari' ], [ 'female' , 'from...= [[ 'male' , 'from US' , 'uses Safari' ], [ 'female' , 'from...scikit-learn.org/stable/modules/preprocessing.html -
MLPRegressor — scikit-learn 1.5.0 documentation
activation {‘identity’, ‘logistic’, ‘tanh’, ‘relu’}, default=’relu’...x) solver {‘lbfgs’, ‘sgd’, ‘adam’}, default=’adam’ The solver...scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPRegressor.html -
6.2. Feature extraction — scikit-learn 1.5.0 do...
() array([' w', 'ds', 'or', 'pr', 'rd', 's ', 'wo', 'wp'], ...)...array(['and', 'document', 'first', 'is', 'one', 'second', 'the',...scikit-learn.org/stable/modules/feature_extraction.html -
Visualizing the stock market structure — scikit...
history for 'AAPL' Fetching quote history for 'AIG' Fetching quote...history for 'AMZN' Fetching quote history for 'AXP' Fetching quote...scikit-learn.org/stable/auto_examples/applications/plot_stock_market.html -
ParameterGrid — scikit-learn 1.5.0 documentation
= [{ 'kernel' : [ 'linear' ]}, { 'kernel' : [ 'rbf' ], 'gamma'...'kernel' : 'linear' }, ... { 'kernel' : 'rbf' , 'gamma' : 1 },...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ParameterGrid.html -
BayesianGaussianMixture — scikit-learn 1.5.0 do...
covariance_type {‘full’, ‘tied’, ‘diag’, ‘spherical’}, default=’full’ String...init_params {‘kmeans’, ‘k-means++’, ‘random’, ‘random_from_data’}, default=’kmeans’...scikit-learn.org/stable/modules/generated/sklearn.mixture.BayesianGaussianMixture.html -
Release Highlights for scikit-learn 1.1 — sciki...
['age', 'fare']), ('cat', OneHotEncoder(handle_unknown='ignore', ...['age', 'fare']), ('cat', OneHotEncoder(handle_unknown='ignore', ...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_1_0.html -
MultiLabelBinarizer — scikit-learn 1.5.0 docume...
array(['-', 'c', 'd', 'e', 'f', 'h', 'i', 'l', 'm', 'o', 'r', 's',...fit_transform ([{ 'sci-fi' , 'thriller' }, { 'comedy' }]) array([[0,...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MultiLabelBinarizer.html -
NBC News special features and projects | NBC News
White House with our 'Road to 270' map Specials 'A sad and glorious...anyway. SPECIAL REPORT 'We don't have any choice': Thousands of kids...www.nbcnews.com/specials -
1.6. Nearest Neighbors — scikit-learn 1.5.0 doc...
valid_metrics ['euclidean', 'l2', 'minkowski', 'p', 'manhattan', 'cityblock',...valid_metrics ['euclidean', 'l2', 'minkowski', 'p', 'manhattan', 'cityblock',...scikit-learn.org/stable/modules/neighbors.html