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| 1. Базовые инструменты анализа данных в Python.zip |
1.16MB |
| 2. Необходимые понятия из мат. анализа и линейной алгебры.zip |
911.59KB |
| 3. Необходимые понятия из теории вероятности.zip |
382.69KB |
| 4. Линейная регрессия.zip |
792.36KB |
| 9. Feature engineering.zip |
671.89KB |
| chat.txt |
11.21KB |
| chat.txt |
6.07KB |
| chat.txt |
5.22KB |
| chat.txt |
14.02KB |
| chat.txt |
11.78KB |
| chat.txt |
13.24KB |
| clustering_1.gz |
3.62MB |
| clustering_2.gz |
50.50MB |
| cs_training.csv |
7.21MB |
| data_gathering.zip |
23.00KB |
| data.csv |
122.27KB |
| DataScientist-201-08 Ensemble-1 13.10.2018.mp4 |
388.66MB |
| DataScientist-2018-06 dlecture 4.mp4 |
735.23MB |
| DataScientist-2018-08.mp4 |
192.69MB |
| DataScientist-2018-08 - 23.08.2018.mp4 |
1.02GB |
| DataScientist-2018-08 - 31.08.2018.mp4 |
662.46MB |
| DataScientist-2018-08-A_B тестирование.mp4 |
118.46MB |
| DataScientist-2018-08 Clustering-1 25.09.18.mp4 |
499.22MB |
| DataScientist-2018-08 Graphs 16.11.18.mp4 |
324.05MB |
| DataScientist-2018-08-HC_4.mp4 |
317.25MB |
| DataScientist-2018-08 - KNN 22.09.18.mp4 |
424.85MB |
| DataScientist-2018-08 lesson 3.mp4 |
792.73MB |
| Data Scientist-2018-08 -Logistic Regression 19.09.18.mp4 |
421.61MB |
| DataScientist-2018-08 NLP 1.mp4 |
701.30MB |
| DataScientist-2018-08 Recommendations 09.11.18.mp4 |
418.31MB |
| DataScientist-2018-08 SVM.mp4 |
122.69MB |
| DataScientist-2018-08 Анализ временных рядов.mp4 |
176.99MB |
| DataScientist-2018-08 Визуализация данных 15.09.18.mp4 |
585.72MB |
| DataScientist-2018-08 Деревья решений.mp4 |
182.50MB |
| DataScientist-2018-08 Избавление от выбросов 30.10.18.mp4 |
339.34MB |
| DataScientist-2018-08 Кластеризация 2 02.10.18.mp4 |
405.21MB |
| DataScientist-2018-08 Методы оптимизации 23.10.18.mp4 |
251.51MB |
| DataScientist-2018-08 - Методы понижения размерности.mp4 |
748.20MB |
| DataScientist-2018-08-НС_3.mp4 |
344.50MB |
| DataScientist-2018-08-Нейронные сети 1.mp4 |
485.78MB |
| DataScientist-2018-08-Нейронные сети 2.mp4 |
305.76MB |
| DataScientist-2018-08-Нейронные сети 4.mp4 |
361.48MB |
| DataScientist-2018-08 Примеры библиотек_ xgboost, catboost, lightgbm.mp4 |
160.62MB |
| DataScientist-2018-08-Системы хранения данных 22.11.2018.mp4 |
291.07MB |
| Data Scientist OTUS.mp4 |
190.39MB |
| Data Scientist OTUS1.mp4 |
230.83MB |
| Data Scientist OTUS2.mp4 |
179.84MB |
| description.docx |
9.39KB |
| dim_var.png |
13.17KB |
| dim_var-2.png |
13.17KB |
| dims.png |
126.28KB |
| DT.zip |
703.40KB |
| ens_1.gz |
1.61MB |
| homework.ipynb |
12.00KB |
| homework.ipynb |
21.77KB |
| homework.zip |
8.48KB |
| knn.gz |
5.73MB |
| l2_math.zip |
287.13KB |
| l3_prob.zip |
901.39KB |
| lecture_10_outliers.tar |
868.30KB |
| lecture_11_dimred.ipynb |
1.70MB |
| lecture_12_opt.tar |
2.24MB |
| lecture_15_ens_lib.ipynb |
295.38KB |
| lecture_16_svm.zip |
970.03KB |
| lecture_17_text.ipynb |
56.35KB |
| lecture_18_text.zip |
1.87MB |
| lecture_20_ts.zip |
1.17MB |
| lecture_21_ab.zip |
303.99KB |
| lecture_graphs.tar |
12.53MB |
| lecture_olap.tar |
2.82MB |
| lecture_rec.tar |
1.52MB |
| logreg.gz |
8.20MB |
| NLP 2.mp4 |
150.53MB |
| NN_2.zip |
1.29MB |
| NN_3.zip |
667.48KB |
| NN_4.zip |
8.35MB |
| NN_4.zip |
2.11MB |
| NN7.zip |
918.33KB |
| otus.png |
17.28KB |
| pca.png |
26.59KB |
| PearsonFig.jpg |
17.67KB |
| pics.zip |
391.55KB |
| proj_1.png |
6.98KB |
| proj.png |
49.74KB |
| RLv2.pdf |
1.37MB |
| RNN_advanced.ipynb |
187.98KB |
| shampoo.csv |
519B |
| visualization.gz |
16.39MB |
| ДЗ.txt |
186B |
| ДЗ.txt |
444B |
| ДЗ.txt |
82B |
| ДЗ.txt |
155B |
| НС_Введение.pdf |
2.14MB |