课程材料：Конспектыипримерыизспециализации“Машинноеобучениеианализдан...
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2021-02-04
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课程材料：Конспектыипримерыизспециализации“Машинноеобучениеианализданных”和Yandex Data FactoryиMIPTнаCoursera （162个子文件） 
train.csv 19.08MB bioresponse.csv 17.76MB data_task2.csv 4.32MB data_task1.csv 3.46MB data.csv 1.14MB bike_sharing_demand.csv 633KB weights_heights.csv 570KB wine_data.csv 375KB winequality-red.csv 82KB bikes_rent.csv 48KB beauty.csv 30KB advertising.csv 4KB
MetricsPA.html 451KB Preprocessing_LR.html 362KB PCA.html 334KB peer_review_linreg_height_weight.html 270KB OverfittingTask.html 231KB wine.ipynb 1.08MB MetricsPA.ipynb 199KB BigARTM-0.8.0.ipynb 84KB peer_review_linreg_height_weight.ipynb 73KB sample_distribution_evaluation.ipynb 68KB Preprocessing_LR.ipynb 59KB VisualizationPeerReview.ipynb 46KB NumPy_-SciPy_-Matplotlib-intro.ipynb 43KB PCA.ipynb 42KB matrix_operations-.ipynb 41KB Types_in_Python.ipynb 35KB vector_operations.ipynb 31KB edit_CookingLDA_PA.ipynb 30KB PostnaukaPeerReview.ipynb 30KB OverfittingTask.ipynb 29KB PA_linreg_stochastic_grad_descent.ipynb 25KB task_nn.ipynb 22KB introduction_to_ipython.ipynb 18KB sklearn.case_part1.ipynb 17KB pandas_indexing_selection.ipynb 14KB sklearn.case_part2.ipynb 14KB grad_boosting.ipynb 13KB sklearn.metrics.ipynb 13KB imdb.ipynb 13KB BigARTM .ipynb 11KB sklearn.data_visualization.ipynb 10KB sklearn.linear_model_part1.ipynb 10KB sklearn.datasets.ipynb 10KB sklearn.decision_trees.ipynb 7KB sklearn.random_forest.ipynb 7KB pandas_dataframe.ipynb 5KB sklearn.grid_search.ipynb 5KB SciPy-Optimization.ipynb 5KB ipython_files_data_reading.ipynb 4KB gensim.ipynb 4KB ipython_files_data_writing.ipynb 4KB recipes.json 11.84MB
3-1.Linejnye_modeli_statisticheskij_vzgljad-Slides.pdf 14.13MB 1.2.Podrobnee_o_metodah_klasterizatsii.pdf 12.75MB 5-1.Nejronnaya-set_-Slides.pdf 11.09MB 3-3.Mnozhestvennaya_proverka_gipotez.pdf 10.93MB 5-3.KNN-Slides.pdf 10.46MB 3.2.Korrelyacii.pdf 10.08MB 5-2.Bayes_classification-Slides.pdf 8.77MB 1-2.Lineynye_modeli-Slides.pdf 8.76MB 3-2.Prakticheskii_rekomendacii_po_linejnym_modeljam-Slides.pdf 8.11MB 4.1.Tematicheskoye_modelirovanie_1.pdf 7.33MB 2.3.Neparametricheskie_kriterii_Slides.pdf 6.99MB 2.2.Matrichnyye_razlozheniya.pdf 6.93MB 3.4.Regressiya.pdf 6.89MB 2-2.Metriki_kachestva-Slides.pdf 6.86MB 1-2.Podrobnee_o_metodah_klasterizacii.pdf 6.26MB 1-1.Znakomstvo_s_machinym_obucheniem-Slides.pdf 6.1MB 4-2.Kompozicii-derev_ev-Slides.pdf 6.09MB 4-1.Reshayushchie_derev_ya-Slides.pdf 5.97MB 4-3.Boosting-Slides.pdf 5.88MB 3.3.Mnozhestvennaya_proverka_gipotez.pdf 5.34MB 1.3.Proverka_gipotez.pdf 5.24MB 2.2.Parametricheskie_kriterii_Slides.pdf 5.16MB 4.2.Tematicheskoye_modelirovanie_2.pdf 4.72MB 2.1.Ponizhenie_razmernosti_i_otbor_priznakov.pdf 4.64MB 2-1.Problema_pereobucheniya-Slides.pdf 4.64MB 3-2.Prakticheskie_rekomendacii_po_linejnym_modelyam.pdf 3.61MB 1.2.Doveritel_nye_intervaly.pdf 3.59MB 3.1.Poisk_anomalij.pdf 3.58MB 5-4.Bayes_theorem-Slides.pdf 2.88MB 3.2.Vizualizatsiya_dannyh.pdf 2.83MB 4-2.Tematicheskoe-modelirovanie-2.pdf 1.9MB 4-1.Veroyatnost_-i-sluchajnye-velichiny.pdf 1.87MB 3-2.Vizualizaciya_dannyh.pdf 1.87MB 2-1.Ponizhenie_razmernosti_i_otbor_priznakov.pdf 1.62MB 4-1.Reshayushchie_derev_ya.pdf 1.39MB 3-1.Poisk_anomalij.pdf 1.23MB 4-2.Sluchajnye_lesa.pdf 1.16MB 3-1.Linejnye_modeli_statisticheskij_vzglyad.pdf 1.15MB 1-1.Doveritelnye_intervaly.pdf 1.02MB 4-1.Tematicheskoe_modelirovanie-1.pdf 846KB 3-2.Korrelyacii.pdf 801KB 4-2.Statistiki.pdf 788KB 5-1.Nejronnye_seti.pdf 739KB 5-3.Metricheskie_algoritmy_i_SVM.pdf 724KB 1-2.Linejnye_modeli.pdf 672KB 4-3.Gradientnyj_busting.pdf 562KB共 162 条
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