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Trump Has Changed How Many Americans Talk, Here...
fill="none" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor">...fill="none" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor">...digg.com/digg-vids/link/donald-trump-american-language-english-influence-video -
Mike Tyson And Jake Paul Scuffle During Pre-Mat...
fill="none" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor">...fill="none" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor">...digg.com/digg-vids/link/jake-paul-tyson-slap-video -
Bumper Sticker Vigilante Gets Back At The Cops ...
fill="none" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor">...fill="none" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor">...digg.com/digg-vids/link/bumperstickerbandit-police-car-video -
Watching A Corn Syrup-Filled Balloon Pop In Slo...
fill="none" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor">...fill="none" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor">...digg.com/digg-vids/link/corn-syrup-balloon-pop-video -
Outlier detection with Local Outlier Factor (LO...
X_outliers = np . random . uniform ( low =- 4 , high = 4 , size = ( 20...contamination = 0.1 ) y_pred = clf . fit_predict ( X ) n_errors = ( y_pred...scikit-learn.org/stable/auto_examples/neighbors/plot_lof_outlier_detection.html -
ledoit_wolf_shrinkage — scikit-learn 1.5.2 docu...
>>> X = rng . multivariate_normal ( mean = [ 0 , 0 ], cov = real_cov...X , assume_centered = False , block_size = 1000 ) [source] # Estimate...scikit-learn.org/stable/modules/generated/sklearn.covariance.ledoit_wolf_shrinkage.html -
Agglomerative clustering with and without struc...
bottom = 0 , top = 0.83 , wspace = 0 , left = 0 , right = 1 ) plt...n_samples )) x = t * np . cos ( t ) y = t * np . sin ( t ) X = np . concatenate...scikit-learn.org/stable/auto_examples/cluster/plot_agglomerative_clustering.html -
DecisionTreeRegressor — scikit-learn 1.5.2 docu...
criterion = 'squared_error' , splitter = 'best' , max_depth = None...min_weight_fraction_leaf = 0.0 , max_features = None , random_state = None , max_leaf_nodes...scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html -
plot_multi_metric_evaluation.ipynb
\n alpha=0.1 if sample == \"test\" else 0,\n color=color,\n )\n... style,\n color=color,\n alpha=1 if sample == \"test\" else 0.7,\n...scikit-learn.org/stable/_downloads/f57e1ee55d4c7a51949d5c26b3af07bb/plot_multi_metric_evaluation.... -
7.2. Real world datasets — scikit-learn 1.5.2 d...
MultinomialNB(alpha=0.01, class_prior=None, fit_prior=True) >>> pred = clf ....newsgroups_train = fetch_20newsgroups ( subset = 'train' , categories = cats...scikit-learn.org/stable/datasets/real_world.html