Scikit-Learn
Scikit-Learn ― Classification with Naïve Bayes ..................................................................................... 104
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Scikit-Learn ― Classification with Naïve Bayes ..................................................................................... 104 Gaussian Naïve Bayes .................................................................................................................................. 105 Scikit-Learn vi Multinomial Naïve Bayes ............................................................................................................................. 107 Bernoulli Naïve Bayes .................................................................................................................................. 108 Complement Naïve Bayes ............................................................................................................................ 110 Building Naïve Bayes Classifier .................................................................................................................... 112 14. Scikit-Learn ― Decision Trees ............................................................................................................... 114 Decision Tree Algorithms............................................................................................................................. 114 Classification with decision trees ................................................................................................................ 115 Regression with decision trees .................................................................................................................... 118 15. Scikit-Learn ― Randomized Decision Trees ........................................................................................... 120 Randomized Decision Tree algorithms ........................................................................................................ 120 The Random Forest algorithm ..................................................................................................................... 120 Regression with Random Forest .................................................................................................................. 122 Extra-Tree Methods ..................................................................................................................................... 123 Yüklə 1,92 Mb. Dostları ilə paylaş:
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