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- 【影视】 Intro to Data Science Using Python- Your Best Starting Point
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收录时间:2021-03-12
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文档大小:401.1 MB
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6. Model Evaluation and Refinement/1. Model Evaluation and Refinement.mp4 27.2 MB
1. Pre Introduction Installation and Guides/1. Installing Anaconda.mp4 24.7 MB
1. Pre Introduction Installation and Guides/2. Your Way Around Jupyter Notebooks.mp4 23.4 MB
5. Model Development/6. Prediction and Decision Making.mp4 21.2 MB
5. Model Development/2. Linear Regression and Multiple Linear Regression.mp4 20.7 MB
3. Data Wrangling/2. Dealing with Missing Values in Python.mp4 18.6 MB
2. Review Introduction/5. Getting Started Analyzing Data in Python.mp4 18.5 MB
2. Review Introduction/4. Importing and Exporting Data in Python.mp4 18.5 MB
2. Review Introduction/2. Understanding the Data.mp4 17.6 MB
4. Exploratory Data Analysis/2. Descriptive Statistics.mp4 16.4 MB
5. Model Development/4. Polynomial Regression and Pipelines.mp4 16.2 MB
5. Model Development/3. Model Evaluation Using Visualization.mp4 15.7 MB
6. Model Evaluation and Refinement/2. Overfitting, Underfitting and Model Selection.mp4 15.0 MB
6. Model Evaluation and Refinement/3. Ridge Regression.mp4 13.6 MB
5. Model Development/5. Measures for In-Sample Evaluation.mp4 13.6 MB
4. Exploratory Data Analysis/6. Analysis of Variance ANOVA.mp4 13.4 MB
3. Data Wrangling/3. Data Formatting in Python.mp4 12.6 MB
4. Exploratory Data Analysis/5. Correlation Statistics.mp4 12.2 MB
3. Data Wrangling/4. Data Normalization in Python.mp4 11.4 MB
2. Review Introduction/1. The Problem.mp4 9.8 MB
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- 【影视】 [FreeCourseWorld.Com] Udemy - Python A-Z™ Python For Data Science With Real Exercises!
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06 Advanced Visualization/059 BONUS Building Dashboards in Python.mp4 111.1 MB
06 Advanced Visualization/060 BONUS Styling Tips.mp4 95.1 MB
05 Data Frames/043 Filtering a Data Frame.mp4 92.4 MB
05 Data Frames/041 Subsetting dataframes in Pandas.mp4 75.7 MB
04 Matrices/028 Building Your First Matrix.mp4 74.6 MB
04 Matrices/029 Dictionaries in Python.mp4 73.5 MB
06 Advanced Visualization/061 BONUS Finishing Touches.mp4 69.0 MB
06 Advanced Visualization/053 Stacked histograms in Python.mp4 60.3 MB
05 Data Frames/047 Keyword Arguments in Python (advanced tutorial).mp4 59.6 MB
04 Matrices/034 Advanced Function Design.mp4 59.5 MB
07 Homework Solutions/072 THANK YOU bonus video.mp4 54.8 MB
06 Advanced Visualization/057 Creating a Facet Grid.mp4 54.3 MB
07 Homework Solutions/067 Homework Solution Section 4 Basketball Free Throws.mp4 54.0 MB
06 Advanced Visualization/055 Working with Subplots().mp4 52.3 MB
04 Matrices/033 Creating Your First Function.mp4 50.9 MB
05 Data Frames/045 Introduction to Seaborn.mp4 49.1 MB
05 Data Frames/044 Using .at() and .iat() (advanced tutorial).mp4 46.0 MB
02 Core Programming Principles/005 Updates on Udemy Reviews.mp4 45.5 MB
05 Data Frames/042 Basic operations with a Data Frame.mp4 44.5 MB
04 Matrices/035 Basketball Insights.mp4 43.5 MB
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- 【影视】 [Tutorialsplanet.NET] Udemy - Complete Python Developer in 2020 Zero to Mastery
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收录时间:2021-03-11
文档个数:767
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23. Bonus Extra Bits/14. AMA - 1,000 Students!!.mp4 446.6 MB
16. Career Of A Python Developer/4. What If I Don't Have Enough Experience.mp4 212.4 MB
23. Bonus Extra Bits/2. CWD Git + Github.mp4 196.8 MB
21. Machine Learning + Data Science/18. Exercise ReallySmartBrain.mp4 145.6 MB
23. Bonus Extra Bits/3. CWD Git + Github 2.mp4 138.5 MB
23. Bonus Extra Bits/4. Contributing To Open Source.mp4 136.6 MB
20. AutomationTesting/3. Selenium Basics.mp4 128.3 MB
19. Web Development with Python/26. Building A Portfolio 8.mp4 125.9 MB
5. Developer Environment/8. Optional Terminal Commands.mp4 123.1 MB
23. Bonus Extra Bits/5. Contributing To Open Source 2.mp4 118.5 MB
11. Modules In Python/5. Python Built-in Modules.mp4 115.9 MB
20. AutomationTesting/4. Selenium Basics 2.mp4 114.8 MB
5. Developer Environment/15. Jupyter Notebooks.mp4 110.6 MB
2. Python Introduction/1. What Is A Programming Language.mp4 109.8 MB
19. Web Development with Python/21. Building A Portfolio 7.mp4 102.3 MB
21. Machine Learning + Data Science/9. Data Science 2.mp4 101.9 MB
19. Web Development with Python/19. Building A Portfolio 5.mp4 101.1 MB
15. Testing In Python/5. Exercise Testing.mp4 100.4 MB
10. Advanced Python Generators/2. Generators 2.mp4 99.5 MB
11. Modules In Python/1. Modules In Python.mp4 98.6 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Interactive Python Dashboards with Plotly and Dash
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收录时间:2021-03-11
文档个数:145
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1. Course Introduction/4. Installation Overview.mp4 156.8 MB
7. Interactive Components/4. Multiple Outputs.mp4 156.8 MB
12. Deployment/2. Deploying App to Heroku.mp4 151.7 MB
2. Introduction to Data Basics/2. NumPy Crash Course.mp4 145.5 MB
3. Plotly Basics/22. Heatmaps.mp4 142.0 MB
7. Interactive Components/3. Multiple Inputs.mp4 140.9 MB
9. Interacting with Visualizations/1. Hover Over Data.mp4 128.1 MB
3. Plotly Basics/2. Scatter Plots.mp4 126.8 MB
7. Interactive Components/2. Dash Callbacks for Graphs.mp4 123.6 MB
9. Interacting with Visualizations/5. Updating Graphs on Interactions Part 2.mp4 121.5 MB
11. Live Updating/2. Simple Live Update Example.mp4 115.0 MB
9. Interacting with Visualizations/3. Selection Data.mp4 106.1 MB
6. DashBoard Components/3. Core Components.mp4 102.3 MB
4. Dash Basics - Layout/4. Converting Simple Plotly Plot to Dashboard with Dash.mp4 91.8 MB
3. Plotly Basics/10. Bubble Plots.mp4 89.5 MB
2. Introduction to Data Basics/3. Pandas Crash Course.mp4 88.4 MB
4. Dash Basics - Layout/2. Dash Layouts - Part One.mp4 88.1 MB
3. Plotly Basics/7. Bar Charts.mp4 86.9 MB
7. Interactive Components/1. Single Callbacks for Interactivity.mp4 79.2 MB
8. Callbacks with State/1. Controlling Callbacks with Dash State.mp4 77.6 MB
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- 【影视】 Udemy - Обработка данных в Python с pandas и линейная регрессия (2019)
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收录时间:2021-03-11
文档个数:24
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04 Линейная регрессия/011 Очистка и фильтрация групп.mp4 78.9 MB
04 Линейная регрессия/012 Линейная регрессия.mp4 78.5 MB
02 Индексы и объединение фреймов/005 Мультиндексы.mp4 77.7 MB
03 Фильтрация и изменение данных/009 Лямбда-функции.mp4 77.5 MB
03 Фильтрация и изменение данных/007 Фильтрация данных.mp4 68.9 MB
04 Линейная регрессия/010 Группировка данных.mp4 67.1 MB
03 Фильтрация и изменение данных/008 Изменение фреймов.mp4 59.4 MB
04 Линейная регрессия/Задание 4 - ответ.mp4 54.2 MB
02 Индексы и объединение фреймов/Задание 2 - ответ.mp4 52.6 MB
02 Индексы и объединение фреймов/004 Индексы данных.mp4 50.7 MB
01 numpy и pandas/002 Фреймы данных.mp4 44.2 MB
01 numpy и pandas/003 Получение данных из Excel.mp4 36.9 MB
02 Индексы и объединение фреймов/006 Объединение фреймов.mp4 30.3 MB
03 Фильтрация и изменение данных/Задание 3 - ответ.mp4 27.1 MB
01 numpy и pandas/001 Работа с numpy.mp4 24.9 MB
01 numpy и pandas/Задание 1 - ответ.mp4 11.3 MB
04 Линейная регрессия/Задание 4.txt 1.0 kB
02 Индексы и объединение фреймов/Задание 2.txt 772 Bytes
01 numpy и pandas/Задание 1.txt 685 Bytes
03 Фильтрация и изменение данных/Задание 3 - Выделение данных.txt 528 Bytes
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- 【压缩文件】 [ DevCourseWeb.com ] RealPython - Sending Emails With Python.zip
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[ DevCourseWeb.com ] RealPython - Sending Emails With Python.zip 127.7 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Credit Risk Modeling in Python 2021
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13. Calculating expected loss/1. Calculating expected loss.mp4 132.9 MB
5. PD Model Data Preparation/25. Data preparation. Preprocessing continuous variables creating dummies (Part 2).mp4 117.2 MB
9. PD model monitoring/3. Population stability index preprocessing.mp4 110.4 MB
1. Introduction/10. Different facility types (asset classes) and credit risk modeling approaches.mp4 109.5 MB
6. PD model estimation/5. Build a logistic regression model with p-values.mp4 107.4 MB
1. Introduction/8. Basel II approaches SA, F-IRB, and A-IRB.mp4 107.4 MB
5. PD Model Data Preparation/28. Data preparation. Preprocessing continuous variables creating dummies (Part 3).mp4 105.9 MB
8. Applying the PD Model for decision making/2. Creating a scorecard.mp4 102.2 MB
5. PD Model Data Preparation/18. Data preparation. Preprocessing discrete variables creating dummies (Part 2).mp4 97.8 MB
9. PD model monitoring/4. Population stability index calculation and interpretation.mp4 96.1 MB
4. General preprocessing/3. Preprocessing few continuous variables.mp4 87.8 MB
8. Applying the PD Model for decision making/8. Setting cut-offs.mp4 79.7 MB
7. PD model validation/3. Evaluation of model performance accuracy and area under the curve (AUC).mp4 79.6 MB
1. Introduction/1. What does the course cover.mp4 76.5 MB
7. PD model validation/5. Evaluation of model performance Gini and Kolmogorov-Smirnov.mp4 73.3 MB
5. PD Model Data Preparation/15. Data preparation. Preprocessing discrete variables visualizing results.mp4 69.6 MB
3. Dataset description/3. Dependent variables and independent variables.mp4 69.1 MB
6. PD model estimation/1. The PD model. Logistic regression with dummy variables.mp4 63.4 MB
5. PD Model Data Preparation/9. Data preparation. Splitting data.mp4 62.3 MB
1. Introduction/2. What is credit risk and why is it important.mp4 61.0 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] Udemy - Algorithms in Python - Design Techniques And Approach.zip
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[ FreeCourseWeb.com ] Udemy - Algorithms in Python - Design Techniques And Approach.zip 3.1 GB
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- 【压缩文件】 Master Machine Learning , Deep Learning with Python
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Master Machine Learning , Deep Learning with Python.zip 1.6 GB
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- 【压缩文件】 [ FreeCourseWeb.com ] Udemy - Python Programming for Excel Users - NumPy, Pandas and More!.zip
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[ FreeCourseWeb.com ] Udemy - Python Programming for Excel Users - NumPy, Pandas and More!.zip 4.0 GB
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- 【影视】 [FreeCourseSite.com] Udemy - Machine Learning Classification Bootcamp in Python
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文档个数:165
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4. Logistic Regression/6. Logistic Regression - Project #1 - Part #3.mp4 168.6 MB
7. Decision Trees and Random Forest/13. Decision Trees & Random Forest - Project #2 - Part #1.mp4 164.0 MB
5. Support Vector Machines/9. Support Vector Machines - Project #1 - Part #7.mp4 155.1 MB
2. What is Machine Learning The Big Picture/2. What is Machine Learning The Big Picture Part #2.mp4 144.2 MB
8. Naive Bayes Classifiers/2. Naive Bayes Intuition.mp4 143.1 MB
1. Introduction/2.1 ML Classification Package.zip 138.2 MB
8. Naive Bayes Classifiers/3. Naive Bayes - Mathematics.mp4 134.0 MB
5. Support Vector Machines/4. Support Vector Machines - Project #1 - Part #2.mp4 129.1 MB
3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/3. How to run a Jupyter Notebook.mp4 128.8 MB
6. K-Nearest Neighbors/8. KNN - Project #2 - Part #1.mp4 126.7 MB
5. Support Vector Machines/5. Support Vector Machines - Project #1 - Part #3.mp4 125.6 MB
8. Naive Bayes Classifiers/6. Project #1 - Part #3.mp4 124.8 MB
7. Decision Trees and Random Forest/2. Decision Trees - Intuition.mp4 123.6 MB
8. Naive Bayes Classifiers/11. Project #2 - Part #1.mp4 116.5 MB
7. Decision Trees and Random Forest/16. Decision Trees & Random Forest - Project #2 - Part #4.mp4 114.7 MB
6. K-Nearest Neighbors/2. K-Nearest Neighbors - Intuition.mp4 112.4 MB
4. Logistic Regression/7. Logistic Regression - Project #1 - Part #4.mp4 102.8 MB
2. What is Machine Learning The Big Picture/1. What is Machine Learning The Big Picture Part #1.mp4 100.2 MB
1. Introduction/5. Course Overview.mp4 99.5 MB
5. Support Vector Machines/2. Support Vector Machines - Intuition.mp4 99.2 MB
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- 【文档书籍】 Python The Complete Manual - 8th Edition, 2019
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Book/Python The Complete Manual - 8th Edition, 2019.pdf 87.1 MB
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- 【压缩文件】 [FreeCourseLab.com] Udemy - Complete Data Science Training with Python for Data Analysis
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1. Introduction to the Data Science in Python Bootcamp/3.1 scriptsLecture.zip.zip 323.0 MB
13. Miscellaneous Lectures & Information/5. Data Imputation.mp4 59.2 MB
6. Introduction to Data Visualizations/6. Barplot.mp4 56.4 MB
4. Introduction to Pandas/6. Read in HTML Data.mp4 53.8 MB
1. Introduction to the Data Science in Python Bootcamp/6. Introduction to the Python Data Science Environment.mp4 42.3 MB
6. Introduction to Data Visualizations/8. Line Chart.mp4 38.9 MB
3. Introduction to Numpy/3. Numpy Operations.mp4 38.5 MB
8. Statistical Inference & Relationship Between Variables/9. Conditions of Linear Regression-Check in Python.mp4 35.0 MB
7. Statistical Data Analysis-Basic/5. Grouping & Summarizing Data by Categories.mp4 34.7 MB
8. Statistical Inference & Relationship Between Variables/7. Linear Regression-Implementation in Python.mp4 31.6 MB
6. Introduction to Data Visualizations/5. Scatter Plot-Visualize the Relationship Between 2 Continuous Variables.mp4 31.3 MB
1. Introduction to the Data Science in Python Bootcamp/2. Introduction to the Course & Instructor.mp4 31.1 MB
6. Introduction to Data Visualizations/3. Histograms-Visualize the Distribution of Continuous Numerical Variables.mp4 30.8 MB
10. Unsupervised Learning in Python/8. Hierarchical Clustering-practical.mp4 30.8 MB
5. Data Pre-ProcessingWrangling/12. Merging and Joining Data Frames.mp4 30.2 MB
8. Statistical Inference & Relationship Between Variables/12. Logistic Regression.mp4 30.2 MB
11. Supervised Learning/5. RF-Classification.mp4 29.9 MB
11. Supervised Learning/2. Data Preparation for Supervised Learning.mp4 29.7 MB
8. Statistical Inference & Relationship Between Variables/3. Test the Difference Between More Than Two Groups.mp4 29.7 MB
5. Data Pre-ProcessingWrangling/5. Subset and Index Data.mp4 29.4 MB
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- 【影视】 [FreeTutorials.Us] deep-reinforcement-learning-in-python
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07 Appendix/044 Environment Setup.mp4 46.0 MB
07 Appendix/045 How to Code by Yourself part 1.mp4 25.7 MB
05 Policy Gradients/035 Mountain Car Continuous Tensorflow.mp4 21.1 MB
06 Deep Q-Learning/042 Deep Q-Learning in Theano for Breakout.mp4 21.0 MB
05 Policy Gradients/034 Mountain Car Continuous Theano.mp4 20.0 MB
05 Policy Gradients/030 Policy Gradient in TensorFlow for CartPole.mp4 18.8 MB
05 Policy Gradients/029 Policy Gradient Methods.mp4 18.8 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/016 RBF Neural Networks.mp4 17.3 MB
01 Introduction and Logistics/001 Introduction and Outline.mp4 16.6 MB
06 Deep Q-Learning/041 Deep Q-Learning in Tensorflow for Breakout.mp4 16.5 MB
06 Deep Q-Learning/038 Deep Q-Learning in Tensorflow for CartPole.mp4 15.7 MB
07 Appendix/046 How to Code by Yourself part 2.mp4 15.5 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/015 CartPole with Bins Code.mp4 15.4 MB
06 Deep Q-Learning/037 Deep Q-Learning Techniques.mp4 15.1 MB
01 Introduction and Logistics/003 How to Succeed in this Course.mp4 15.1 MB
06 Deep Q-Learning/039 Deep Q-Learning in Theano for CartPole.mp4 14.4 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/017 RBF Networks with Mountain Car Code.mp4 14.4 MB
05 Policy Gradients/031 Policy Gradient in Theano for CartPole.mp4 14.1 MB
02 Background Review/005 Review of Markov Decision Processes.mp4 12.8 MB
04 TD Lambda/026 TD Lambda.mp4 12.3 MB
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- 【压缩文件】 [FreeCourseSite.com] Udemy - Python for Computer Vision with OpenCV and Deep Learning
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1. Course Overview and Introduction/3.1 Computer-Vision-with-Python.zip.zip 321.0 MB
4. Image Processing/7. Blurring and Smoothing - Part Two.mp4 247.3 MB
6. Object Detection with OpenCV and Python/9. Feature Matching - Part Two.mp4 186.0 MB
8. Deep Learning for Computer Vision/22. YOLO v3 with Python.mp4 175.0 MB
4. Image Processing/5. Image Thresholding.mp4 145.0 MB
8. Deep Learning for Computer Vision/17. Deep Learning on Custom Images - Part Two.mp4 144.4 MB
3. Image Basics with OpenCV/2. Opening Image files in a notebook.mp4 133.1 MB
6. Object Detection with OpenCV and Python/2. Template Matching.mp4 122.3 MB
6. Object Detection with OpenCV and Python/14. Face Detection with OpenCV.mp4 122.3 MB
4. Image Processing/9. Gradients.mp4 118.9 MB
8. Deep Learning for Computer Vision/11. Convolutional Neural Networks Overview - Part One.mp4 118.8 MB
7. Object Tracking/3. Optical Flow Coding with OpenCV - Part One.mp4 116.8 MB
6. Object Detection with OpenCV and Python/11. Watershed Algorithm - Part Two.mp4 114.5 MB
6. Object Detection with OpenCV and Python/12. Custom Seeds with Watershed Algorithm.mp4 109.4 MB
6. Object Detection with OpenCV and Python/8. Feature Matching - Part One.mp4 104.8 MB
5. Video Basics with Python and OpenCV/4. Drawing on Live Camera.mp4 102.7 MB
8. Deep Learning for Computer Vision/9. Keras Basics.mp4 102.5 MB
3. Image Basics with OpenCV/10. Image Basics Assessment Solutions.mp4 102.0 MB
4. Image Processing/8. Morphological Operators.mp4 101.5 MB
7. Object Tracking/6. MeanShift and CamShift Tracking with OpenCV.mp4 100.9 MB
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文档个数:273
文档大小:10.6 GB
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Остальное/Виртуалки/VMWare/VM_for_course.zip.001 1.6 GB
С 1 по 7/День 2/day_2.mp4 1.4 GB
С 1 по 7/День 1/day1_part1.mkv 893.2 MB
С 1 по 7/День 3/day3.mp4 778.4 MB
Остальное/Виртуалки/Vagrant/pyneng.box 716.8 MB
Остальное/Виртуалки/VMWare/VM_for_course.zip.002 687.5 MB
С 1 по 7/День 7/day7_part5.ogv 368.6 MB
С 1 по 7/День 9-10/День 9 и 10/day9_part3.ogv 327.3 MB
С 1 по 7/День 9-10/День 9 и 10/day9_part2.ogv 306.3 MB
С 1 по 7/День 9-10/День 9 и 10/day10_part1.ogv 287.6 MB
С 1 по 7/День 8/День 8/day8_part2.ogv 264.4 MB
С 1 по 7/День 9-10/День 9 и 10/day10_part2.ogv 262.9 MB
С 1 по 7/День 4/day4_part3.ogv 257.1 MB
С 1 по 7/День 6/day6_part1.ogv 239.0 MB
С 1 по 7/День 4/day4_part1.ogv 223.6 MB
С 1 по 7/День 8/День 8/day8_part1.ogv 215.1 MB
С 1 по 7/День 6/day6_part3.ogv 193.8 MB
С 1 по 7/День 8/День 8/day8_part3.ogv 193.7 MB
С 1 по 7/День 1/day1_part2.mkv 190.3 MB
С 1 по 7/День 7/day7_part2.ogv 165.5 MB
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- 【影视】 www.Torrenting.org - Swamp People S10E15 Voodoo Python 720p HDTV x264-CRiMSON
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