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Press about BuzzFeed
R:238 G:51 B:34 #ee3322 R:0 G:119 B:238 #ee3322 R:255 G:238 B:0...www.buzzfeed.com/press -
sklearn.naive_bayes.MultinomialNB — scikit-lear...
g., word counts for text classification)....sub-estimator of a meta-estimator, e.g. used inside a Pipeline . Otherwise...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html -
sklearn.preprocessing.normalize — scikit-learn ...
g. if the data is a numpy array...using the Transformer API (e.g. as part of a preprocessing Pipeline...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.normalize.html -
Polynomial and Spline interpolation — scikit-le...
g. with seasonal effects, we expect...in the transformed values (e.g. from Dec 31st to Jan 1st). For...scikit-learn.org/stable/auto_examples/linear_model/plot_polynomial_interpolation.html -
sklearn.preprocessing.minmax_scale — scikit-lea...
g. if the data is a numpy array...using the Transformer API (e.g. as part of a preprocessing Pipeline...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.minmax_scale.html -
Comparison of kernel ridge regression and SVR —...
c = "g" , label = "KRR (fit: %.3f s,...= "r" if name == "SVR" else "g" , label = " %s (train)" % name...scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_ridge_regression.html -
sklearn.multioutput.MultiOutputRegressor — scik...
g. used inside a Pipeline . Otherwise...sub-estimator of a meta-estimator, e.g. used inside a Pipeline . Otherwise...scikit-learn.org/stable/modules/generated/sklearn.multioutput.MultiOutputRegressor.html -
sklearn.ensemble.VotingRegressor — scikit-learn...
g. used inside a Pipeline . Otherwise...arguments Specific parameters using e.g. set_params(parameter_name=new_value)...scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingRegressor.html -
sklearn.ensemble.ExtraTreesRegressor — scikit-l...
g. 0.3. Changed in version 1.1:...controlling the size of the trees (e.g. max_depth , min_samples_leaf...scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesRegressor.html -
Effect of varying threshold for self-training —...
color = "g" ) ax2 . tick_params ( "y" , colors = "g" ) ax3 =...= 1 ), capsize = 2 , color = "g" , ) ax2 . set_ylim ( bottom =...scikit-learn.org/stable/auto_examples/semi_supervised/plot_self_training_varying_threshold.html