Pазработчик BigData | 3309E50DA1C228721C1C506E410E5BDA56F0504B

Pазработчик BigData

Name	Pазработчик BigData	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	15.3 GB
Total Files	457
Hash	3309E50DA1C228721C1C506E410E5BDA56F0504B

/data_gathering/data_gathering/
__init__.py	0.0 KB
vkstat.cfg	0.2 KB
gathering.py	7.6 KB
scrapped_data.txt	50.1 KB
/data_gathering/data_gathering/storages/
__init__.py	0.0 KB
storage.py	0.3 KB
file_storage.py	1.0 KB
/data_gathering/data_gathering/scrappers/
__init__.py	0.0 KB
scrapper.py	0.9 KB
/data_gathering/data_gathering/parsers/
__init__.py	0.0 KB
filter_parser.py	0.5 KB
test_parsers.py	0.5 KB
html_parser.py	0.6 KB
parser.py	0.6 KB
/.../lecture_27_mr/ClickStreamExtra/
stopwords.txt	0.0 KB
run.sh	0.3 KB
ClickStreamExtra.java	3.9 KB
/.../lecture_28_pipelines/docker-airflow/
.dockerignore	0.0 KB
circle.yml	0.3 KB
.gitignore	0.5 KB
docker-compose-LocalExecutor.yml	0.8 KB
Dockerfile	2.3 KB
docker-compose-CeleryExecutor.yml	2.9 KB
README.md	6.0 KB
LICENSE	11.4 KB
/.../lecture_27_mr/WordCountSimple/
file01	0.0 KB
file02	0.0 KB
run.sh	0.2 KB
WordCount.java	2.2 KB
/.../lecture_28_pipelines/docker-airflow/.git/
HEAD	0.0 KB
description	0.1 KB
config	0.3 KB
index	0.9 KB
packed-refs	1.6 KB
/3. Визуализация/homework/vkstatsbot/
_gitignore	0.0 KB
vkstat_example.cfg	0.0 KB
constants.py	0.3 KB
visualisation.py	0.9 KB
bot_handlers.py	1.5 KB
vk_api.py	2.3 KB
main.py	2.4 KB
/homework/vkstatsbot/
.gitignore	0.0 KB
vkstat_example.cfg	0.0 KB
constants.py	0.3 KB
visualisation.py	0.9 KB
bot_handlers.py	1.5 KB
vk_api.py	2.3 KB
main.py	2.4 KB
/.../lecture_28_pipelines/docker-airflow/.git/refs/remotes/origin/
HEAD	0.0 KB
/.../lecture_28_pipelines/docker-airflow/.git/refs/heads/
master	0.0 KB
/18. Анализ текстовых данных 2/
requirements.txt	0.0 KB
lecture_18_text.ipynb	174.9 KB
LDA.ipynb	478.1 KB
lesson18.mp4	265.1 MB
/30. Организация хранения данных для решения задач машинного обучения/
sample.txt	0.1 KB
connect	0.3 KB
sample.scala	0.4 KB
start_jupyter.sh	0.6 KB
word_count.py	0.9 KB
titanic.ipynb	21.4 KB
test.csv	28.6 KB
train.csv	61.2 KB
lecture_30_spark.pdf	402.4 KB
BigData-2018-03 2018 07 26 20 07 43.mp4	578.6 MB
/31. Spark/
broad.py	0.1 KB
examples.scala	1.0 KB
spark_hw.pdf	29.1 KB
lecture_31_spark.pdf	403.8 KB
BigData-2018-03 2018 07 31 20 03 46.mp4	895.0 MB
/25. Процесс CRISP-DM. Выбор хранилища, запросы к базе (Реляционная, нереляционная). Большие данные и параллельные вычисления/
test_env.sh	0.1 KB
text_3.txt	0.1 KB
text_1.txt	0.1 KB
mapper.py	0.1 KB
reducer.py	0.2 KB
text.txt	0.2 KB
text_2.txt	0.3 KB
run.sh	0.3 KB
homework-watermark.pdf	54.3 KB
alice.txt	151.9 KB
lecture_25-watermark.pdf	2.9 MB
BigData-2018-03 2018 07 10 20 02 49.mp4	813.0 MB
/.../lecture_28_pipelines/luigi/
run.sh	0.1 KB
luigi_mr_conf.cfg	0.1 KB
luigi_graph.py	1.1 KB
luigi_mr.py	1.3 KB
/15. Бустинг/
ДЗ.txt	0.1 KB
otus.png	17.7 KB
homework.ipynb	22.3 KB
lecture_15_ens_lib.ipynb	302.5 KB
BigData-2018-03 2018 05 29 20 01 07.mp4	283.6 MB
/11. Уменьшение размерности/
ДЗ.txt	0.1 KB
chat.txt	5.3 KB
homework_dimred.ipynb	6.9 KB
proj_1.png	7.1 KB
dim_var.png	13.5 KB
otus.png	17.7 KB
PearsonFig.jpg	18.1 KB
pca.png	27.2 KB
proj.png	50.9 KB
data.csv	125.2 KB
dims.png	129.3 KB
lecture_11_dimred.ipynb	1.5 MB
orders.csv	76.3 MB
lesson11.mp4	716.8 MB
/lecture_19/
requirements.txt	0.1 KB
homework.txt	3.3 KB
netflix_progress.jpg	10.1 KB
star_ratings.png	16.2 KB
otus.png	17.7 KB
mf.png	21.5 KB
svd.png	25.7 KB
effect_factorizations.png	28.8 KB
linkedin.png	33.0 KB
lecture_19_rec.ipynb	37.9 KB
lecture_19_rec_p2.ipynb	55.4 KB
fm.png	72.9 KB
cfuser.png	111.8 KB
content.png	127.8 KB
amazon.png	327.6 KB
lastfm.png	356.0 KB
lamoda.png	418.2 KB
/7. kMeans, EM/
ДЗ.txt	0.1 KB
] edit.png	7.1 KB
homework-clustering.ipynb	124.0 KB
lecture_07_clustering.pdf	382.4 KB
lecture_07_clustering.ipynb	1.1 MB
BigData-2018-03 2018 05 03 19 59 53.mp4	251.0 MB
/13. Деревья решений/
ДЗ.txt	0.1 KB
chat.txt	9.0 KB
homework.ipynb	9.1 KB
lecture_13_trees.ipynb	267.9 KB
BigData 2018 03 2018 05 22.mp4	884.7 MB
/31. Spark/stackoverflow/
build.sbt	0.1 KB
/scala_project/
build.sbt	0.1 KB
SparkWordCount.scala	1.0 KB
/data_gathering/data_gathering/parsers/__pycache__/
__init__.cpython-34.pyc	0.2 KB
filter_parser.cpython-34.pyc	1.0 KB
test_parsers.cpython-34.pyc	1.1 KB
parser.cpython-34.pyc	1.2 KB
/data_gathering/data_gathering/storages/__pycache__/
__init__.cpython-34.pyc	0.2 KB
storage.cpython-34.pyc	0.8 KB
file_storage.cpython-34.pyc	1.5 KB
/data_gathering/data_gathering/scrappers/__pycache__/
__init__.cpython-34.pyc	0.2 KB
scrapper.cpython-34.pyc	1.0 KB
vk_api.cpython-34.pyc	2.3 KB
/5. Логистическая регрессия/
ДЗ.txt	0.2 KB
exercises.ipynb	9.6 KB
homework.ipynb	79.9 KB
05_log_regression.ipynb	550.3 KB
lecture_05_logreg.pdf	2.0 MB
BigData-2018-03 2018 04 24 20 01 11.mp4	264.4 MB
/.../lecture_28_pipelines/docker-airflow/.git/hooks/
post-update.sample	0.2 KB
pre-applypatch.sample	0.4 KB
applypatch-msg.sample	0.5 KB
commit-msg.sample	0.9 KB
prepare-commit-msg.sample	1.2 KB
pre-push.sample	1.4 KB
pre-commit.sample	1.6 KB
update.sample	3.6 KB
pre-rebase.sample	4.9 KB
/.../lecture_28_pipelines/docker-airflow/.git/logs/
HEAD	0.2 KB
/.../lecture_28_pipelines/docker-airflow/.git/logs/refs/heads/
master	0.2 KB
/.../lecture_28_pipelines/docker-airflow/.git/logs/refs/remotes/origin/
HEAD	0.2 KB
/17. Анализ текстовых данных/
ДЗ.txt	0.2 KB
otus.png	17.7 KB
lecture_17_text_word2vec.ipynb	59.2 KB
lecture_17_text.ipynb	60.1 KB
spam.csv	503.7 KB
BigData-2018-03 2018 06 07 20 01 01.mp4	267.6 MB
/1. Базовые инструменты анализа данных в Python/
ДЗ.txt	0.2 KB
exercises.ipynb	15.0 KB
Roadmap.pdf	29.7 KB
homework_description.pdf	31.0 KB
env.pdf	116.5 KB
lecture-1-intro.ipynb	156.8 KB
lecture_01_intro.pdf	910.5 KB
lesson1.mp4	257.7 MB
/homework/vkstatsbot/.idea/
misc.xml	0.2 KB
modules.xml	0.3 KB
vkstatsbot.iml	0.4 KB
workspace.xml	9.5 KB
/data_gathering/data_gathering/.idea/
misc.xml	0.2 KB
modules.xml	0.3 KB
data_gathering.iml	0.4 KB
workspace.xml	37.3 KB
/.../lecture_28_pipelines/docker-airflow/.git/info/
exclude	0.2 KB
/.../lecture_27_mr/ClickStream/
run.sh	0.3 KB
ClickStream.java	2.2 KB
/.../lecture_27_mr/ClickStreamTool/
run.sh	0.5 KB
ClickStreamTool.java	2.5 KB
/3. Визуализация/
populations.txt	0.5 KB
crimeRatesByState2005.tsv	2.9 KB
nba.csv	5.0 KB
cars.csv	10.7 KB
lecture_03_vis.pdf	625.3 KB
flights.csv	2.4 MB
3_Data_Visualisation_in_Python.ipynb	7.0 MB
BigData-2018-03 2018 04 10 20 00 15.mp4	258.4 MB
/23. Нейронные сети, часть 2/
ДЗ.txt	0.6 KB
neuron.png	5.4 KB
chat.txt	6.9 KB
AutoEncoder.png	8.4 KB
otus.png	17.7 KB
lecture_23_nn_pytorch.ipynb	33.0 KB
net.jpeg	68.9 KB
graph.png	160.2 KB
DL.pdf	677.1 KB
BigData 2018 07 03 20 00.mp4	664.8 MB
/29. Слои данных для оптимизации процессов использования данных. Hive/
wiki_part.hql	0.6 KB
clickstream.sql	0.7 KB
wiki_part_orc.hql	1.2 KB
homework.pdf	35.0 KB
smallwikipedia.csv	55.4 KB
lecture_29_hive.pdf	702.5 KB
BigData-2018-03 2018 07 24 20 02 05.mp4	682.4 MB
/.../lecture_28_pipelines/cron/
daily.sh	0.7 KB
/22. Нейронные сети, часть 1/
ДЗ.txt	1.1 KB
neuron.png	5.4 KB
chat.txt	6.4 KB
pytorch_tutorial.ipynb	13.9 KB
otus.png	17.7 KB
g2.png	77.9 KB
act.png	78.0 KB
g3.png	79.8 KB
g1.png	94.7 KB
graph.png	160.2 KB
lecture_22_nn_pytorch.ipynb	404.3 KB
backpropagation.pdf	1.2 MB
BigData-2018-03 2018 06 28 20 00 00.mp4	667.5 MB
/.../lecture_28_pipelines/docker-airflow/dags/__pycache__/
tuto.cpython-36.pyc	1.1 KB
/.../lecture_28_pipelines/docker-airflow/dags/
tuto.py	1.3 KB
/20. Временные ряды/
AirPassengers.csv	1.7 KB
chat.txt	5.2 KB
cv.png	6.2 KB
ts1.png	8.1 KB
ts3.png	8.2 KB
ts2.png	9.2 KB
otus.png	17.7 KB
Sales_Transactions_Dataset_Weekly.csv	317.4 KB
lecture_20_ts.ipynb	775.6 KB
otus_items.txt	83.8 MB
BigData-2018-03-2018 06 21 20 00 00.mp4	622.6 MB
/2. Вводная в математические операции/
] vectors.png	1.8 KB
uniform_dist.png	9.9 KB
[corr.png	10.4 KB
uniform_f.png	11.0 KB
otus.png	17.7 KB
norm_f.png	24.2 KB
norm_dist.png	25.2 KB
limit.png	34.0 KB
corr2.png	53.5 KB
lecture_02_math.ipynb	65.6 KB
p_x.png	167.4 KB
lecture_02_math.pdf	486.0 KB
Correlation_examples2.svg	2.3 MB
BigData-2018-03 2018 04 05 20 00 46.mp4	236.9 MB
/.../lecture_28_pipelines/oozie/
example.xml	2.1 KB
/28. Пайплайны. Способы выстроить поток задач, обеспечить выполнение. Отказоустойчивость, мониторинг/
chat.txt	2.6 KB
lecture_28_pipelines.pdf	2.2 MB
BidData-2018-03 - 2018 07 19.mp4	610.3 MB
/.../lecture_28_pipelines/docker-airflow/script/
entrypoint.sh	2.7 KB
/24. Алгоритмы на графах/
125px_Undirected.png	2.8 KB
125px_Directed.png	2.9 KB
203px_Unconnected_graph.png	6.1 KB
photo_2018_02_06_15_57_29.jpg	13.8 KB
otus.png	17.7 KB
585px_VR_complex.svg	22.4 KB
photo_2018_02_06_01_28_08.jpg	49.3 KB
photo_2018_02_06_19_27_02.jpg	59.3 KB
image016.jpg	61.6 KB
6_centrality_measures.png	166.6 KB
animation_d5.gif	1.5 MB
lecture24_networks.ipynb	9.2 MB
BigData-2018-03-2018.mp4	521.6 MB
/9. Feature engineering/
sample_submission.csv	2.8 KB
gender_submission.csv	3.3 KB
otus.png	17.7 KB
test.csv	28.6 KB
Features Homework.pdf	53.4 KB
train.csv	61.2 KB
grad.png	123.6 KB
lecture_09_features.ipynb	496.1 KB
BigData-2018-03 2018 05 10 20 00 26.mp4	229.4 MB
/19. Рекомендательные системы/
homework.txt	3.3 KB
lecture_19_rec.ipynb	37.9 KB
lecture_19_rec_p2.ipynb	55.4 KB
BigData-2018-03 2018 06 19 20 01 15.mp4	225.4 MB
/homework/
homework_description.txt	3.6 KB
/pics/
Stogra.png	3.9 KB
var.png	8.9 KB
sgd_plot.pdf	10.4 KB
otus.png	17.7 KB
g2.png	25.7 KB
g3.png	30.8 KB
g1.png	37.4 KB
ada.png	42.0 KB
nesterov.png	45.2 KB
nesterov2.png	63.9 KB
grad.png	231.2 KB
saddle_point_evaluation_optimizers.gif	731.2 KB
contours_evaluation_optimizers.gif	914.6 KB
/31. Spark/stackoverflow/src/main/scala/
StackOverflowDataset.scala	4.2 KB
/pics/
DS1.png	4.3 KB
DS2.png	4.3 KB
DS3.png	4.4 KB
otus.png	17.7 KB
DT1.png	17.8 KB
DT6.png	18.2 KB
DT5.png	18.2 KB
DT3.png	18.7 KB
DT4.png	18.7 KB
DT2.png	35.0 KB
housing.png	71.7 KB
creditdecisiontree.png	73.6 KB
golf.png	77.6 KB
obama.jpg	119.2 KB
/.../lecture_16_svm/
margin.png	4.9 KB
otus.png	17.7 KB
regression.png	18.2 KB
linear.png	18.2 KB
slack.png	20.1 KB
rocauc.png	40.2 KB
svm_equations.png	72.0 KB
svm_plots.png	176.0 KB
/3. Визуализация/pics/
heatmap.png	7.3 KB
box.png	11.2 KB
otus.png	17.7 KB
bar.png	22.8 KB
plot.png	23.8 KB
pair.png	106.3 KB
pie.png	108.2 KB
salaries.png	175.1 KB
scatter.png	295.7 KB
/6. KNN, наивный байес/
chat.txt	7.7 KB
lecture_06_knn.pdf	460.8 KB
l6_knn_ex.ipynb	1.3 MB
l6_knn.ipynb	1.3 MB
BigData-2018-03 2018 04 26 20 04 06.mp4	236.5 MB
/21. Latent Dirichlet Allocation/
AB_Testing_Normal_Curve.jpg	8.7 KB
ab_process.png	13.0 KB
h1.png	15.3 KB
otus.png	17.7 KB
BabyAge_Control.jpg	24.9 KB
BabyAge_Variation.jpg	26.4 KB
Hypothesis_Testing.jpg	36.2 KB
button_ab_test.png	38.9 KB
band.png	48.7 KB
ab_test_3_kak_provoditsya_ab_testirovanie.jpg	54.2 KB
lecture_21_ab.ipynb	61.0 KB
BigData-2018-03 06 26.mp4	404.8 MB
/data_gathering/data_gathering/__pycache__/
gathering.cpython-34.pyc	9.1 KB
/3. Визуализация/homework/
description.docx	9.8 KB
/5. Логистическая регрессия/pics/
logistic_function_plot.pdf	11.8 KB
sgd_plot.pdf	12.0 KB
step.pdf	13.6 KB
underfitting_learning_curves_plot.pdf	13.8 KB
classification_random_line.pdf	14.7 KB
classification.pdf	14.9 KB
logloss.pdf	15.1 KB
error_function.pdf	15.3 KB
regression_poly.pdf	15.8 KB
regression.pdf	15.8 KB
regression_poly_predicted.pdf	17.2 KB
descision.pdf	17.3 KB
regression_poly_overfit.pdf	17.3 KB
otus.png	17.7 KB
regression_random_line.pdf	17.8 KB
zero_one_loss.pdf	18.5 KB
classification_error.pdf	18.5 KB
regression_estimated.pdf	19.1 KB
regression_random_line_mse.pdf	19.6 KB
supervised.pdf	21.4 KB
supervised.png	29.1 KB
circles.pdf	31.2 KB
circles0050001.pdf	34.8 KB
circles020001.pdf	35.7 KB
circles005001.pdf	37.7 KB
circles021.pdf	38.0 KB
circles00501.pdf	38.1 KB
circles02001.pdf	38.2 KB
circles0201.pdf	38.3 KB
circles0210000.pdf	38.6 KB
circles0051.pdf	38.6 KB
regression_3d.pdf	52.7 KB
regression_3d_estimated.pdf	54.8 KB
unsupervised.pdf	107.0 KB
grad.png	231.2 KB
irissm.pdf	492.2 KB
iris.pdf	492.3 KB
/.../lecture_28_pipelines/docker-airflow/config/
airflow.cfg	12.9 KB
/pics/
m1.png	13.3 KB
m2.png	14.3 KB
blobs_new.pdf	15.3 KB
blobs_nearest1.pdf	15.5 KB
blobs.pdf	15.5 KB
regression_poly_overfit.pdf	15.7 KB
of.png	16.0 KB
m3.png	16.1 KB
otus.png	17.7 KB
lr_cls.png	55.7 KB
knn_cls.png	61.4 KB
knn_cls_1.png	72.3 KB
vtt.png	73.7 KB
cv.png	138.9 KB
/pics/
regression_poly_overfit.pdf	13.7 KB
underfitting_learning_curves_plot.pdf	13.8 KB
regression_poly.pdf	15.7 KB
regression.pdf	15.8 KB
regression_poly_predicted.pdf	16.9 KB
regression_random_line.pdf	17.5 KB
otus.png	17.7 KB
regression_estimated.pdf	18.3 KB
regression_random_line_mse.pdf	18.9 KB
supervised.pdf	20.4 KB
supervised.png	29.1 KB
regression_3d.pdf	40.7 KB
regression_3d_estimated.pdf	41.9 KB
unsupervised.pdf	107.5 KB
/4. Линейная регрессия/
meeting_saved_chat.txt	15.3 KB
] exercises.ipynb	32.9 KB
exercises_key.ipynb	75.0 KB
04_linear_regression.ipynb	520.5 KB
0_Информация.pdf	552.0 KB
lecture_04_linreg.pdf	673.6 KB
BigData-2018-03 2018 04 19 20 00.mp4	570.1 MB
/26. Vowpal Wabbit для обучения линейных моделей на одной машине/
otus.png	17.7 KB
lecture_26.ipynb	256.8 KB
lecture_26_vw.pdf	373.4 KB
BigData-2018-03 2018 07 12 20 05 13.mp4	630.5 MB
/14. Ансамбли моделей/
otus.png	17.7 KB
lecture_14_ens.ipynb	490.3 KB
BigData-2018-03 2018 05 24 20 00 00.mp4	262.9 MB
/pics/
otus.png	17.7 KB
latent-dirichlet-allocation-7-1024.jpg	54.3 KB
kmeans.png	84.4 KB
gauss.png	112.2 KB
LogDirichletDensity-alpha_0.3_to_alpha_2.0.gif	3.5 MB
/16. SVM, Support vector machine/
linear.png	18.2 KB
lecture_16_svm.ipynb	442.1 KB
BigData-2018-03 2018 05 31 20 01 15.mp4	242.6 MB
/.../lecture_28_pipelines/docker-airflow/.git/objects/pack/
pack-350773030e4626b979dd0965444cfb4dc5defb79.idx	19.0 KB
pack-350773030e4626b979dd0965444cfb4dc5defb79.pack	159.5 KB
/32. Обзор решений для аналитики больших данных/
Проект.pdf	25.5 KB
lecture_32_schemas.pdf	1.7 MB
BigData-2018-03 2018 08 02 20 02 42.mp4	571.5 MB
/27. MapReduce на Java, Hadoop Streaming - MapReduce на Python, bash/
homework.pdf	28.4 KB
lecture_27_mapred.pdf	396.0 KB
BigData-2018-03 2018 07 17 part 1.mp4	125.2 MB
BigData-2018-03 2018 07 17 part 2.mp4	419.4 MB
/8. Иерархическая кластеризация, DB-Scan/
clusters	35.0 KB
lecture_08_clustering.ipynb	1.1 MB
data.csv	45.6 MB
BigData-2018-03 2018 05 08 20 00 09.mp4	238.5 MB
/12. Методы оптимизации/
lecture_12_opt.ipynb	325.7 KB
BigData-2018-03 2018 06 05 20 01 07.mp4	192.2 MB
/10. Поиск выбросов в данных/
lecture_10_outliers.ipynb	502.6 KB
BigData-2018-15 2018 05 15 20 01 34.mp4	963.8 MB
Total files 457