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| 04_linear_regression.ipynb |
508.32KB |
| 05_log_regression.ipynb |
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| 125px_Directed.png |
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| 125px_Undirected.png |
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| 203px_Unconnected_graph.png |
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| 3_Data_Visualisation_in_Python.ipynb |
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| 585px_VR_complex.svg |
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| 6_centrality_measures.png |
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| ab_process.png |
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| ab_test_3_kak_provoditsya_ab_testirovanie.jpg |
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| AB_Testing_Normal_Curve.jpg |
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| AirPassengers.csv |
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| alice.txt |
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| BabyAge_Control.jpg |
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| BabyAge_Variation.jpg |
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| backpropagation.pdf |
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| band.png |
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| BidData-2018-03 - 2018 07 19.mp4 |
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| BigData-2018-03 06 26.mp4 |
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| BigData-2018-03-2018.mp4 |
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| BigData-2018-03 2018 04 05 20 00 46.mp4 |
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| BigData-2018-03 2018 04 10 20 00 15.mp4 |
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| BigData-2018-03 2018 04 19 20 00.mp4 |
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| BigData-2018-03 2018 05 03 19 59 53.mp4 |
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| BigData-2018-03 2018 06 07 20 01 01.mp4 |
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| BigData-2018-03 2018 06 19 20 01 15.mp4 |
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| BigData-2018-03-2018 06 21 20 00 00.mp4 |
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| BigData-2018-03 2018 07 10 20 02 49.mp4 |
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| BigData-2018-03 2018 07 12 20 05 13.mp4 |
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| BigData-2018-03 2018 07 17 part 1.mp4 |
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| BigData-2018-03 2018 07 17 part 2.mp4 |
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| BigData-2018-03 2018 07 24 20 02 05.mp4 |
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| BigData-2018-03 2018 07 26 20 07 43.mp4 |
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| BigData-2018-03 2018 08 02 20 02 42.mp4 |
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| BigData 2018 03 27 20 00 28.mp4 |
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| BigData 2018 07 03 20 00.mp4 |
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| BigData-2018-15 2018 05 15 20 01 34.mp4 |
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| broad.py |
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| clickstream.sql |
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| Correlation_examples2.svg |
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| crimeRatesByState2005.tsv |
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| data_gathering.zip |
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| data.csv |
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| DL.pdf |
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| examples.scala |
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| exercises.ipynb |
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| Features Homework.pdf |
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| flights.csv |
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| gender_submission.csv |
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| homework_description.pdf |
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| homework.txt |
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| homework.zip |
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| homework-20180409T202335Z-001.zip |
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| homework-clustering.ipynb |
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| homework-watermark.pdf |
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| Hypothesis_Testing.jpg |
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| l6_knn_ex.ipynb |
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| l6_knn.ipynb |
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| LDA.ipynb |
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| lecture_01_intro.pdf |
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| lecture_02_math.ipynb |
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| lecture_02_math.pdf |
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| lecture_03_vis.pdf |
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| lecture_04_linreg.pdf |
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| lecture_07_clustering.ipynb |
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| lecture_17_text_word2vec.ipynb |
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| lecture_19_rec_p2.ipynb |
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| lecture_19_rec.ipynb |
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| lecture_19.zip |
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| lecture_20_ts.ipynb |
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| lecture_21_ab.ipynb |
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| lecture_22_nn_pytorch.ipynb |
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| lecture_23_nn_pytorch.ipynb |
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| lecture_25-watermark.pdf |
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| lecture_26_vw.pdf |
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| lecture_26.ipynb |
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| lecture_27_mapred.pdf |
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| lecture_27_mr.zip |
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| lecture_28_pipelines.pdf |
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| lecture_28_pipelines.zip |
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| lecture_29_hive.pdf |
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| lecture_30_spark.pdf |
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| lecture_31_spark.pdf |
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| lecture_32_schemas.pdf |
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| lecture-1-intro.ipynb |
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| lecture24_networks.ipynb |
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| limit.png |
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| linear.png |
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| mapper.py |
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| meeting_saved_chat.txt |
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| nba.csv |
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| net.jpeg |
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| neuron.png |
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| neuron.png |
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| norm_dist.png |
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| norm_f.png |
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| orders.csv |
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| otus_items.txt |
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| otus.png |
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| p_x.png |
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| pca.png |
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| PearsonFig.jpg |
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| photo_2018_02_06_01_28_08.jpg |
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| photo_2018_02_06_15_57_29.jpg |
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| photo_2018_02_06_19_27_02.jpg |
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| pics.zip |
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| pics.zip |
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| pics.zip |
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| populations.txt |
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| proj_1.png |
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| proj.png |
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| pytorch_tutorial.ipynb |
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| reducer.py |
202B |
| requirements.txt |
44B |
| Roadmap.pdf |
28.99KB |
| run.sh |
280B |
| Sales_Transactions_Dataset_Weekly.csv |
309.96KB |
| sample_submission.csv |
2.77KB |
| sample.scala |
428B |
| sample.txt |
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| scala_project.zip |
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| smallwikipedia.csv |
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| spam.csv |
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| spark_hw.pdf |
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| stackoverflow.zip |
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| start_jupyter.sh |
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| test_env.sh |
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| test.csv |
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| test.csv |
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| text_1.txt |
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| text_2.txt |
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| text_3.txt |
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| text.txt |
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| titanic.ipynb |
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| train.csv |
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| train.csv |
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| ts1.png |
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| uniform_dist.png |
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| vectors.png |
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| wiki_part_orc.hql |
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| wiki_part.hql |
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| word_count.py |
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| ДЗ.txt |
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| Полезные ссылки.txt |
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| Проект.pdf |
24.93KB |