Machine-Learning-and-Data-Analysis-Coursera-Yandex-MIPT
Machine Learning and Data Analysis Coursera Specialization from Yandex and MIPT
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최종 버전 다운로드 (.zip)- answer.txt
- answer2.txt
- sentences.txt
- Task 1.ipynb
- Task 2.ipynb
- AnswerTask1.txt
- AnswerTask2.txt
- AnswerTask3.txt
- Task 1.ipynb
- Central limit theorem.ipynb
- 1-1.Vvedenie.pdf
- 1-2.Programmirovanie_na_Python.pdf
- 1-3.Osnovy matematicheskogo analiza.pdf
- 2-1.Znakomstvo s linejnoj algebroj.pdf
- 2-2.Matricy_i_osnovnye_matrichnye_operacii.pdf
- 3-1.Funkcii mnogih peremennyh.pdf
- 3-2.Metody_optimizacii.pdf
- 3-3.Singulyarnoe_razlozhenie_matric.pdf
- 4-1.Veroyatnost' i sluchajnye velichiny.pdf
- 4-2.Statistiki.pdf
- introduction_to_ipython.ipynb
- matrix_operations-.ipynb
- stochastic_variables.ipynb
- sample_distribution_evaluation.ipynb
- wine.ipynb
- wine_data.csv
- Types_in_Python.ipynb
- example_koi_8.txt
- example_utf8.txt
- ipython_files_data_reading.ipynb
- ipython_files_data_writing.ipynb
- dataset.tsv
- pandas_dataframe.ipynb
- data_sample_example.tsv
- pandas_indexing_selection.ipynb
- NumPy_-SciPy_-Matplotlib-intro.ipynb
- SciPy-Optimization.ipynb
- vector_operations.ipynb
- Interesting resources.docx
- peer_review_linreg_height_weight.ipynb
- weights_heights.csv
- 1NN против RandomForest.ipynb
- answer1.txt
- answer2.txt
- 1.txt
- 2.txt
- 3.txt
- 4.txt
- advertising.csv
- PA_linreg_stochastic_grad_descent.ipynb
- bikes_rent.csv
- OverfittingTask.ipynb
- MetricsPA.ipynb
- data.csv
- Preprocessing_LR.ipynb
- preprocessing_lr_answer1.txt
- preprocessing_lr_answer2.txt
- preprocessing_lr_answer3.txt
- preprocessing_lr_answer4.txt
- preprocessing_lr_answer5.txt
- preprocessing_lr_answer6.txt
- answer1.txt
- answer2.txt
- answer3.txt
- answer4.txt
- answer5.txt
- Bagging and random forest.ipynb
- answer2.txt
- answer3.txt
- answer4.txt
- answer5.txt
- grad_boosting.ipynb
- nnets_answer1.txt
- task_nn.ipynb
- winequality-red.csv
- answer1.txt
- answer2.txt
- answer3.txt
- Naive Bayes.ipynb
- 1-1.Znakomstvo_s_machinym_obucheniem-Slides.pdf
- 1-2.Lineynye_modeli-Slides.pdf
- 2-1.Problema_pereobucheniya-Slides.pdf
- 2-2.Metriki_kachestva-Slides.pdf
- 3-1.Linejnye_modeli_statisticheskij_vzgljad-Slides.pdf
- 3-2.Prakticheskii_rekomendacii_po_linejnym_modeljam-Slides.pdf
- 4-1.Reshayushchie_derev'ya-Slides.pdf
- 4-2.Kompozicii derev'ev-Slides.pdf
- 4-3.Boosting-Slides.pdf
- 5-1.Nejronnaya set'-Slides.pdf
- 5-2.Bayes_classification-Slides.pdf
- 5-3.KNN-Slides.pdf
- 5-4.Bayes_theorem-Slides.pdf
- 1-1.Znakomstvo_s_mashinnym_obucheniem.pdf
- 1-2.Linejnye_modeli.pdf
- 2-1.Problema_pereobucheniya_i_bor_ba_s_nej.pdf
- 2-2.Metriki_kachestva.pdf
- 3-1.Linejnye_modeli_statisticheskij_vzglyad.pdf
- 3-2.Prakticheskie_rekomendacii_po_linejnym_modelyam.pdf
- 4-1.Reshayushchie_derev'ya.pdf
- 4-2.Sluchajnye_lesa.pdf
- 4-3.Gradientnyj_busting.pdf
- 5-1.Nejronnye_seti.pdf
- 5-2.Bajesovskaya_klassifikaciya_i_regressiya.pdf
- 5-3.Metricheskie_algoritmy_i_SVM.pdf
- 5-4.Teorema_Bajesa_v_mashinnom_obuchenii.pdf
- xgboost.pdf
- sklearn.datasets.ipynb
- bioresponse.csv
- sklearn.random_forest.ipynb
- bioresponse.csv
- sklearn.rf_vs_gb.ipynb
- imdb.ipynb
- labeledTrainData.tsv
- sklearn.cross_validation.ipynb
- sklearn.linear_model_part1.ipynb
- sklearn.linear_model_part2.ipynb
- sklearn.metrics.ipynb
- sklearn.grid_search.ipynb
- bike_sharing_demand.csv
- sklearn.case_part1.ipynb
- bike_sharing_demand.csv
- sklearn.case_part2.ipynb
- sklearn.decision_trees.ipynb
- Interesting resources.docx
- answer.txt
- carnival_cruise_lines_officies.txt
- checkins.7z
- Размещение баннеров.ipynb
- data_task1.csv
- data_task2.csv
- PCA.ipynb
- pca_answer1.txt
- pca_answer2.txt
- pca_answer3.txt
- pca_answer4.txt
- train.7z
- VisualizationPeerReview.ipynb
- cooking_LDA_pa_task1.txt
- cooking_LDA_pa_task2.txt
- cooking_LDA_pa_task3.txt
- cooking_LDA_pa_task4.txt
- edit_CookingLDA_PA.ipynb
- gensim_demo.ipynb
- recipes.7z
- aaaaaa.batch
- aaaaab.batch
- aaaaac.batch
- aaaaad.batch
- aaaaae.batch
- aaaaaf.batch
- aaaaag.batch
- authors_map.pdf
- lectures.txt
- New Text Document.txt
- PostnaukaPeerReview.ipynb
- 1-1.Vvedenie_v_klasterizatsiyu-Slides.pdf
- 1-2.Podrobnee_o_metodah_klasterizatsii-Slides.pdf
- 2-1.Ponizhenie_razmernosti_i_otbor_priznakov-Slides.pdf
- 2-2.Matrichnye_razlozheniya-Slides.pdf
- 3-1.Poisk_anomalij-Slides.pdf
- 3-2.Vizualizatsiya_dannyh-Slides.pdf
- 4-1.Tematicheskoye_modelirovanie_1-Slides.pdf
- 4-2.Tematicheskoye_modelirovanie_2-Slides.pdf
- 1-1.Vvedenie_v_klasterizaciyu.pdf
- 1-2.Podrobnee_o_metodah_klasterizacii.pdf
- 2-1.Ponizhenie_razmernosti_i_otbor_priznakov.pdf
- 2-2.Matrichnye_razlozheniya.pdf
- 3-1.Poisk_anomalij.pdf
- 3-2.Vizualizaciya_dannyh.pdf
- 4-1.Tematicheskoe_modelirovanie_1.pdf
- 4-2.Tematicheskoe_modelirovanie_2.pdf
- TextsClusteringExample.ipynb
- sklearn.data_visualization.ipynb
- docword.xkcd.txt
- gensim.ipynb
- vocab.xkcd.txt
- BigARTM.ipynb
- school.txt
- Test Mean conf int.ipynb
- water.txt
- AUCs.txt
- Test Multiple hypothesis testing.ipynb
- botswana.tsv
- Test Regression.ipynb
- Credit scoring.ipynb
- credit_card_default_analysis.csv
- Churn analysis.ipynb
- churn_analysis.csv
- AB browser test.ipynb
- ab_browser_test.csv
- answer1.txt
- answer2.txt
- answer3.txt
- answer4.txt
- answer5.txt
- answer6.txt
- gene_high_throughput_sequencing.csv
- Genom cancer.ipynb
- Test Proportions conf int.ipynb
- Test Bootstrap conf int.ipynb
- pines.txt
- Test Hypothesis testing.ipynb
- diamonds.txt
- Test Student tests.ipynb
- banknotes.txt
- Test Parametric tests.ipynb
- challenger.txt
- Test Non-parametric test.ipynb
- illiteracy.txt
- Test Correlation.ipynb
- Test Correlation analysis.ipynb
- water.txt
- 1-1.Doveritelnye_intervaly-Slides.pdf
- 1-2.Proverka_gipotez-Slides.pdf
- 2-2.Parametricheskie_kriterii-Slides.pdf
- 2-3.Neparametricheskie_kriterii-Slides.pdf
- 3-2.Korrelyacii-Slides.pdf
- 3-3.Mnozhestvennaya_proverka_gipotez-Slides.pdf
- 3-4.Regressiya-Slides.pdf
- 1-1.Doveritelnye_intervaly.pdf
- 1-2.Proverka_gypotez.pdf
- 2-1.Vvedenye_v_AB_testy.pdf
- 2-2.Parametricheskie_kriterii.pdf
- 2-3.Neparametricheskie_kriterii.pdf
- 3-1.Poisk_zavisimostej_v_dannyh.pdf
- 3-2.Korrelyacii.pdf
- 3-3.Mnozhestvennaya_proverka_gipotez.pdf
- 3-4.Regressiya.pdf
- stat.mean_conf_int.ipynb
- stat.non_parametric_tests_rel.ipynb
- weight.txt
- seattle.txt
- stat.non_parametric_tests_ind.ipynb
- foodmart.products.tsv
- foodmart.sales.tsv
- stat.correlation.ipynb
- foodmart.products.tsv
- foodmart.sales.tsv
- stat.multiple_hypothesis_testing.ipynb
- beauty.csv
- stat.regression.ipynb
- stat.proporion_conf_int.ipynb
- banner_click_stat.txt
- stat.two_proporions_conf_int_upd.ipynb
- stat.bootstrap_intervals.ipynb
- verizon.txt
- stat.binomial_test_with_plots.ipynb
- fertility.txt
- stat.hi2_test.ipynb
- ADHD.txt
- stat.student_tests.ipynb
- banner_click_stat.txt
- stat.two_proportions_diff_test.ipynb
- mirror_mouses.txt
- stat.non_parametric_tests_1sample.ipynb
- Interesting resources.docx
- monthly-milk-production.csv
- Test Autocorrelation and stationarity.ipynb
- ._WAG_C_M.csv
- 1PRW_Salary.ipynb
- WAG_C_M.csv
- WAG_C_M_updated.csv
- wage_forecast_solomkin.ipynb
- Avg wage in Russia.ipynb
- monthly-australian-wine-sales.csv
- WAG_C_M.csv
- wages.ipynb
- wine.ipynb
- class_names.txt
- imagenet_classes.py
- results.txt
- test.7z
- train.7z
- vgg16.ipynb
- vgg16_answer1.txt
- vgg16_answer2
- vgg16_answer3.txt
- readme
- SMSSpamCollection.txt
- ans1.txt
- ans2.txt
- ans3.txt
- ans4.txt
- ans5.txt
- Text analysis.ipynb
- ans1.txt
- ans2.txt
- ans3.txt
- ans4.txt
- coursera_sessions_test.txt
- coursera_sessions_train.txt
- Recommender systems.ipynb
- 1. Vremennye ryady.pdf
- 2. Avtokorrelyaciya.pdf
- 3 Stacionarnost'.pdf
- 4. ARMA.pdf
- 5. Modeli ARIMA.pdf
- 6. Vybor ARIMA i prognozirovanie.pdf
- 7. Analiz ostatkov.pdf
- 8. Regressionnyj podhod k prognozirovaniyu.pdf
- 1. Analiz povedeniya pol'zovatelej.pdf
- 2. Auditornye metriki privlechenie.pdf
- 3. Auditornye metriki aktivnost'.pdf
- 4. Auditornye metriki monetizaciya.pdf
- 5. Auditornye metriki uderzhanie.pdf
- 6. Prognozirovanie ottoka pol'zovatelej. Postanovka zadachi.pdf
- 7. Prognozirovanie ottoka pol'zovatelej Postroenie i ocenka modeli.pdf
- 1. Komp'yuternoe zrenie.pdf
- 2. Zadachi komp'yuternogo zreniya.pdf
- 3. Nizkourovnevoe zrenie.pdf
- 4. Linejnaya fil'traciya izobrazhenij.pdf
- 1. Klassifikaciya izobrazhenij.pdf
- 2. Zadacha klassifikacii izobrazhenij na praktike.pdf
- 3. Raspoznavanie lic.pdf
- 1. Detekciya obektov.pdf
- 2. Stilizaciya izobrazhenij.pdf
- 3. Raspoznavanie kitov.pdf
- 4. Sbor bol'shih kollekcij izobrazhenij.pdf
- 1. Rabota s tekstovymi dannymi.pdf
- 2. Predobrabotka teksta.pdf
- 3. Izvlechenie priznakov iz teksta.pdf
- 4. Izvlechenie priznakov iz teksta - 2.pdf
- 5. Obuchenie modelej na tekstah.pdf
- 1. word2vec.pdf
- 2. Rekurrentnye seti.pdf
- 1. Vydelenie kollokacij.pdf
- 2. YAzykovye modeli.pdf
- 3. Analiz tonal'nosti teksta.pdf
- 6. Annotirovanie.pdf
- 1. Zadacha ranzhirovaniya.pdf
- 2. Metriki kachestva ranzhirovaniya.pdf
- 3. Metody ranzhirovaniya.pdf
- 1. Rekomendatel'nye sistemy.pdf
- 2. kNN i matrichnye razlozheniya.pdf
- 3. Podhody k postroeniyu rekomendatel'nyh sistem.pdf
- 4. Gibridnye rekomendatel'nye sistemy.pdf
- 5. Offlajn ocenka kachestva.pdf
- 6. Onlajnovaya ocenka kachestva.pdf
- 7. Maksimizaciya pribyli magazina.pdf
- monthly-australian-wine-sales.csv
- wine.ipynb
- SimpleSentiment.txt
- Interesting resources.docx
- 1 Internet users pattern mining.7z
- 1 Mathematics and Python Coursera Q4CHN3MRUF3J.pdf
- 2 Supervised learning Coursera LDG7QFKD7D4E.pdf
- 3 Unsupervised learning Coursera XPVNBHUGXTBH.pdf
- 4 Stats for data analysis Coursera AHW865X4GMNW.pdf
- 5 Data analysis applications Coursera 9BXN3KHEMCBV.pdf
- 6 Data analysis project Coursera N884G75RZVUU.pdf
- Machine Learning and Data Analysis Specialization Coursera XBGNHG84H39M.pdf
- .gitattributes
- .gitignore
- LICENSE
- README.md
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