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[TutsNode.com] - 380+ Exercises - Python Programming Mega Pack - Built-in/56 - Configuration (optional)/007 Anaconda installation - Linux.mp4 59.1 MB
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[TutsNode.com] - 380+ Exercises - Python Programming Mega Pack - Built-in/56 - Configuration (optional)/002 Google Colab + Google Drive.mp4 12.4 MB
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[TutsNode.com] - 380+ Exercises - Python Programming Mega Pack - Built-in/56 - Configuration (optional)/004 Google Colab - Intro_en.vtt 7.9 kB
[TutsNode.com] - 380+ Exercises - Python Programming Mega Pack - Built-in/43 - re/001 Intro.html 7.3 kB
[TutsNode.com] - 380+ Exercises - Python Programming Mega Pack - Built-in/56 - Configuration (optional)/005 Anaconda installation - Windows 10_en.vtt 4.3 kB
[TutsNode.com] - 380+ Exercises - Python Programming Mega Pack - Built-in/56 - Configuration (optional)/007 Anaconda installation - Linux_en.vtt 4.1 kB
[TutsNode.com] - 380+ Exercises - Python Programming Mega Pack - Built-in/56 - Configuration (optional)/003 Google Colab + GitHub_en.vtt 4.1 kB
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~Get Your Files Here !/06 - 5. Greedy Algorithms/06 - Solution Dijkstra's algorithm.mp4 7.5 MB
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1 - Artificial Intelligence with Python/27 - Concept of Logic Programming.mp4 136.7 MB
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10. Combinação Linear/6. Aplicação Otimização de Carteira de investimentos Parte 2.mp4 54.3 MB
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14 Course Project_ Building a Blog - Forms, Files & Sessions/008 Handling Comment Form Submission.mp4 146.9 MB
04 Templates & Static Files/002 Adding & Registering Templates.mp4 146.8 MB
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04 Templates & Static Files/018 Adding CSS Styling.mp4 134.6 MB
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14 Course Project_ Building a Blog - Forms, Files & Sessions/009 Comment Form Validation Styles.mp4 115.0 MB
05 Course Project_ Building a Blog - The Basics/012 Special Template Features & Syntax.mp4 114.1 MB
06 Data & Models/010 Updating Models & Migrations.mp4 111.2 MB
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08 Relationships/003 Adding a one-to-many Relation & Migrations.mp4 104.5 MB
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15. Module 15 Real World Data Analysis Example/5. Housing Dataset Analysis -Part Five.mp4 41.9 MB
1. Introduction/2. How to Download Course Notebooks.mp4 39.9 MB
11. Module 11 Data Wrangling2 Combining and Merging Datasets/1. Merging Datasets on Keys (common columns).mp4 38.7 MB
4. Module 4 Data Structures And Sequences In Python/2. List.mp4 38.1 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/13. Scatter Plots and Pair Plots.mp4 37.5 MB
6. Module 6 NumPy Arrays/10. Mathematical and Statistical Methods.mp4 37.1 MB
7. Module 7 Pandas Dataframe/2. Dataframe in Pandas.mp4 35.6 MB
14. Module 14 Time Series/6. Handling Time Zone.mp4 35.1 MB
14. Module 14 Time Series/5. Shifting Data Through Time (Lagging and Leading).mp4 34.8 MB
14. Module 14 Time Series/3. Basics of Time Series.mp4 34.4 MB
15. Module 15 Real World Data Analysis Example/4. Housing Dataset Analysis -Part Four.mp4 33.5 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/7. Adding Annotations and Drawings on a Plot.mp4 33.1 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/2. Creating Figures and Subplots.mp4 32.7 MB
10. Module 10 Data Wrangling1 Hierarchical Indexing/1. Hierarchical Indexing.mp4 32.7 MB
6. Module 6 NumPy Arrays/2. Creating Ndarrays.mp4 32.7 MB
11. Module 11 Data Wrangling2 Combining and Merging Datasets/3. Concatenating Along an Axis.mp4 31.6 MB
14. Module 14 Time Series/8. Rolling and Moving Windows.mp4 31.2 MB
15. Module 15 Real World Data Analysis Example/3. Housing Dataset Analysis -Part Three.mp4 31.2 MB
14. Module 14 Time Series/4. Generating Date Ranges.mp4 30.9 MB
12. Module 12 Data Wrangling3 Reshaping and Pivoting/3. Reshaping by Pivoting (Long to Wide).mp4 30.3 MB
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Python.na.kagd.den.rant/Блок 1 - Вычислительные задачи на Python/Занятие 1.1 Первые шаги в Python, запуск, знакомство с консолью.mp4 837.0 MB
Python.na.kagd.den.rant/Блок 1 - Вычислительные задачи на Python/Занятие 1.7 Работа с файлами.mp4 829.5 MB
Python.na.kagd.den.rant/Блок 1 - Вычислительные задачи на Python/Занятие 1.2 Циклы и условные конструкции.mp4 753.8 MB
Python.na.kagd.den.rant/Блок 1 - Вычислительные задачи на Python/Занятие 1.5 Функции — использование встроенных и создание собственных.mp4 614.5 MB
Python.na.kagd.den.rant/Блок 2 - Работа с файловой системой/Занятие 2.4 Вызов внешних программ.mp4 578.7 MB
Python.na.kagd.den.rant/Блок 2 - Работа с файловой системой/Занятие 2.1 Открытие и чтение файла, запись в файл.mp4 573.7 MB
Python.na.kagd.den.rant/Блок 1 - Вычислительные задачи на Python/Занятие 1.4 Типы данных. Коллекции данных.mp4 561.7 MB
Python.na.kagd.den.rant/Блок 2 - Работа с файловой системой/Занятие 2.2 Кодировки, Кракозябры и Кириллица.mp4 542.9 MB
Python.na.kagd.den.rant/Блок 2 - Работа с файловой системой/Занятие 2.3 Работа с папками, путями.mp4 539.8 MB
Python.na.kagd.den.rant/Блок 3 - Работа с внешним API/Занятие 3.3 Работа с API ВК, json, работа с менеджером пакетов.mp4 509.6 MB
Python.na.kagd.den.rant/Блок 3 - Работа с внешним API/Занятие 3.4 Работа с API для получения курсов валют.mp4 465.1 MB
Python.na.kagd.den.rant/Блок 3 - Работа с внешним API/Занятие 3.1 Настройка и работа в IDE Pycharm.mp4 450.2 MB
Python.na.kagd.den.rant/Блок 3 - Работа с внешним API/Занятие 3.5 Работа с API Yandex Метрика, создание своих классов.mp4 430.9 MB
Python.na.kagd.den.rant/Блок 1 - Вычислительные задачи на Python/Занятие 1.3 Практика работы с циклами и условиями.mp4 427.3 MB
Python.na.kagd.den.rant/Блок 3 - Работа с внешним API/Занятие 3.2 Работа с библиотекой requests, http запросы.mp4 416.3 MB
Python.na.kagd.den.rant/Блок 4 - Краткое введение в анализ данных/Занятие 4.1 Работа с ipython notebook, pandas dataframe, загрузка данных.mp4 409.7 MB
Python.na.kagd.den.rant/Блок 5 - Подводные камни разработки на Python/Занятие 5.3 Задачки на собеседованиях.mp4 407.3 MB
Python.na.kagd.den.rant/Блок 4 - Краткое введение в анализ данных/Занятие 4.2 Визуализация данных.mp4 400.1 MB
Python.na.kagd.den.rant/Блок 1 - Вычислительные задачи на Python/Занятие 1.6 Занятие с разбором задач.mp4 377.3 MB
Python.na.kagd.den.rant/Блок 5 - Подводные камни разработки на Python/Занятие 5.1 Zen of Python — что должен знать каждый разработчик.mp4 342.2 MB
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1. Introdução/2. Importância da estatística para Data Science.mp4 119.4 MB
8. Aplicações em Data Science/3. Estatística Descritivas dos dados do Titanic.mp4 86.7 MB
5. Medidas de Tendência Central (MTC)/2. Média aritmética.mp4 81.0 MB
3. Fundamentos da Estatística/2. Aleatoriedade.mp4 69.0 MB
4. Representações Gráficas/3. Gráficos de barras com Python.mp4 53.8 MB
5. Medidas de Tendência Central (MTC)/6. Medidas separatrizes.mp4 49.4 MB
8. Aplicações em Data Science/4. Estatística Descritivas para Preços de Ativos Financeiros.mp4 49.3 MB
1. Introdução/1. Apresentação do curso.mp4 48.8 MB
7. Medidas de Assimetria (MA)/3. O que é um Boxplot.mp4 46.5 MB
5. Medidas de Tendência Central (MTC)/12. Plotar Média, Mediana e Moda - Python.mp4 43.9 MB
3. Fundamentos da Estatística/3. População e Amostra.mp4 43.9 MB
4. Representações Gráficas/1. Por que utilizar gráficos.mp4 41.8 MB
3. Fundamentos da Estatística/5. Obtendo amostras com Python.mp4 39.5 MB
6. Medidas de Dispersão (MD)/1. Introdução a medidas de dispersão.mp4 37.5 MB
1. Introdução/3. Introdução a estatística - História.mp4 36.4 MB
3. Fundamentos da Estatística/4. Medidas observadas e variáveis.mp4 34.6 MB
1. Introdução/6. Bibliotecas Python para análises estatísticas.mp4 34.4 MB
7. Medidas de Assimetria (MA)/2. Medidas de curtose.mp4 33.9 MB
5. Medidas de Tendência Central (MTC)/7. Cálculo da Média - Python.mp4 32.8 MB
6. Medidas de Dispersão (MD)/5. Variância e desvio padrão.mp4 31.1 MB
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28. ML Interpretability.mp4 201.1 MB
30. Visuals & Reports.mp4 201.1 MB
31. Visualization Basics.mp4 201.1 MB
20. Dividing Data into Subsets.mp4 170.7 MB
14. Scaling and Binning Numerical Data.mp4 156.4 MB
5. How To Find Help.mp4 140.0 MB
10. Dealing with Huge Data.mp4 129.2 MB
25. Machine Learning Classification.mp4 125.0 MB
15. Validating Data with Schemas.mp4 124.1 MB
18. Visual Data Exploration.mp4 121.4 MB
19. Descriptive Statistics.mp4 121.4 MB
27. Validation of Machine Learning Models.mp4 120.7 MB
29. Intro to Machine Learning Fairness.mp4 105.2 MB
13. Dealing with Missing Data.mp4 104.9 MB
23. Linear Regression for Price Prediction.mp4 97.8 MB
16. Encoding Categorical Data.mp4 83.6 MB
17. Exploratory Data Analysis.mp4 83.6 MB
26. Data Clustering for Deeper Insights.mp4 80.8 MB
9. Loading Any Data File.mp4 78.9 MB
24. Decision Trees and Random Forests.mp4 76.5 MB
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48 - Configuration (optional)/007 Anaconda installation - Linux.mp4 58.7 MB
48 - Configuration (optional)/004 Google Colab - Intro.mp4 46.8 MB
48 - Configuration (optional)/005 Anaconda installation - Windows 10.mp4 35.1 MB
48 - Configuration (optional)/003 Google Colab + GitHub.mp4 22.4 MB
48 - Configuration (optional)/008 Spyder.mp4 17.4 MB
48 - Configuration (optional)/006 Introduction to Spyder.mp4 17.4 MB
48 - Configuration (optional)/002 Google Colab + Google Drive.mp4 12.0 MB
48 - Configuration (optional)/004 Google Colab - Intro_en.vtt 8.1 kB
45 - Exercises 281-290/010 Solution 290.html 5.6 kB
45 - Exercises 281-290/009 Solution 289.html 5.1 kB
45 - Exercises 281-290/008 Solution 288.html 4.8 kB
45 - Exercises 281-290/007 Solution 287.html 4.4 kB
48 - Configuration (optional)/005 Anaconda installation - Windows 10_en.vtt 4.3 kB
48 - Configuration (optional)/007 Anaconda installation - Linux_en.vtt 4.3 kB
45 - Exercises 281-290/006 Solution 286.html 4.2 kB
48 - Configuration (optional)/003 Google Colab + GitHub_en.vtt 4.0 kB
45 - Exercises 281-290/005 Solution 285.html 3.8 kB
48 - Configuration (optional)/006 Introduction to Spyder_en.vtt 3.4 kB
48 - Configuration (optional)/008 Spyder_en.vtt 3.4 kB
45 - Exercises 281-290/004 Solution 284.html 3.4 kB
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