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6. Linear Regression/18. Ridge regression and Lasso in Python.mp4 264.3 MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 129.9 MB
5. Data Preprocessing/16. Bi-variate analysis and Variable transformation.mp4 119.3 MB
6. Linear Regression/5. Assessing accuracy of predicted coefficients.mp4 109.5 MB
6. Linear Regression/10. Multiple Linear Regression in Python.mp4 92.4 MB
6. Linear Regression/16. Subset selection techniques.mp4 91.4 MB
5. Data Preprocessing/10. Outlier Treatment in Python.mp4 90.8 MB
2. Basics of Statistics/3. Describing data Graphically.mp4 86.2 MB
5. Data Preprocessing/23. Correlation Analysis.mp4 85.2 MB
3. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 84.5 MB
6. Linear Regression/3. Simple Linear Regression in Python.mp4 82.5 MB
5. Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 82.4 MB
5. Data Preprocessing/7. EDD in Python.mp4 78.7 MB
3. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp4 77.3 MB
3. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 76.6 MB
5. Data Preprocessing/24. Correlation Analysis in Python.mp4 71.3 MB
6. Linear Regression/8. The F - statistic.mp4 67.2 MB
1. Introduction/2. Course contents.mp4 67.0 MB
6. Linear Regression/14. Test train split in Python.mp4 60.6 MB
3. Setting up Python and Jupyter Notebook/8. Working with Panda Library of Python.mp4 59.2 MB
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- 【影视】 Unit Testing with Python – Emily Bache
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5 Test Doubles Mocks, Fakes and Stubs/7 Example Using a Mock.mp4 25.2 MB
6 Test Coverage and Parameterized Tests/7 Using Coverage Data to Add Tests to Legacy Code.mp4 20.9 MB
4 Testable Documentation with Doctest/8 The ELLIPSIS Directive a Wildcard for Matching Varying Output.mp4 19.4 MB
5 Test Doubles Mocks, Fakes and Stubs/6 Example Using a Fake.mp4 18.2 MB
6 Test Coverage and Parameterized Tests/3 Defining Parameterized Tests With unittest.mp4 15.6 MB
1 Unit Testing with Python Basic Example Using unittest/9 Cest Case Design Test Case Names as Specification..mp4 14.9 MB
3 Using Pytest for Unit Testing in Python/7 Adding a Test Fixture by Using pytest.fixture.mp4 14.6 MB
6 Test Coverage and Parameterized Tests/5 Measuring Coverage With pytest cov.mp4 12.4 MB
5 Test Doubles Mocks, Fakes and Stubs/8 Example Using a Spy.mp4 10.8 MB
1 Unit Testing with Python Basic Example Using unittest/4 Another Test Case Explanation of Test Runner.mp4 10.5 MB
2 Why and When Should You Write Unit Tests?/12 Continuous Integration.mp4 10.4 MB
5 Test Doubles Mocks, Fakes and Stubs/12 Using Monkeypatching to Insert a Test Double.mp4 10.3 MB
1 Unit Testing with Python Basic Example Using unittest/10 Arrange Act Assert Cleanup.mp4 9.9 MB
4 Testable Documentation with Doctest/6 Handling Output That Changes Dictionaries and Floats.mp4 9.8 MB
1 Unit Testing with Python Basic Example Using unittest/7 Using setUp and tearDown Explanation of Test Fixture.mp4 9.3 MB
5 Test Doubles Mocks, Fakes and Stubs/3 Example Using a Stub.mp4 9.3 MB
3 Using Pytest for Unit Testing in Python/5 Asserting the Contents of Collections.mp4 9.3 MB
6 Test Coverage and Parameterized Tests/4 Defining Parameterized Tests With pytest.mp4 8.8 MB
1 Unit Testing with Python Basic Example Using unittest/11 unittest Documentation..mp4 8.2 MB
4 Testable Documentation with Doctest/3 Documenting a Simple Method With docstring Examples.mp4 8.0 MB
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Monty.Pythons.The.Meaning.of.Life.1983.1080p.BluRay.x264.anoXmous_eng.srt 118.1 kB
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- 【影视】 Pluralsight Building a REST API Using Python and Flask
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08.Adding Authentication to our API/0806.Creating Decorators to Add API Authentication.mp4 14.9 MB
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07.Storing Data in a SQL Database/0710.Updating Our Flask App to Use Our Book Model.mp4 14.1 MB
08.Adding Authentication to our API/0801.How to Create JWT Tokens.mp4 11.3 MB
08.Adding Authentication to our API/0804.Creating Users That Are Allowed API Access.mp4 10.9 MB
04.Posting Data/0410. Handling Invalid Post Requests.mp4 10.5 MB
08.Adding Authentication to our API/0802.Adding Authentication for Our Get Route.mp4 9.0 MB
07.Storing Data in a SQL Database/0704.Defining a Data Model with Flask SQLAlchemy .mp4 8.9 MB
04.Posting Data/0406.Adding New Books to Our Store Using Post.mp4 8.6 MB
08.Adding Authentication to our API/0803.Creating a Database for Users Who Are Allowed API Access.mp4 8.2 MB
05.Updating Data/0504.Finishing up the Put Route.mp4 7.6 MB
03.Getting Data/0303.Returning a Single Book from Our API.mp4 7.5 MB
05.Updating Data/0506.Defining Our Patch Route.mp4 7.4 MB
05.Updating Data/0505. How to Add a Patch Route.mp4 7.4 MB
04.Posting Data/0407.Mistake to Be Aware of When Using Post in Flask.mp4 7.1 MB
02.Getting Started/0204.Installing Flask.mp4 6.6 MB
04.Posting Data/0408.Setting Status Codes and Response Bodies for Post Requests.mp4 6.6 MB
07.Storing Data in a SQL Database/0705.Updating Our Data Model to Query Our Database.mp4 6.5 MB
07.Storing Data in a SQL Database/0703.Creating the Database.mp4 6.4 MB
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Monty Python's Flying Circus 2 - 12.avi 454.0 MB
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Monty Python's Flying Circus 2 - 03.avi 448.9 MB
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Monty Python's Flying Circus 2 - 05.avi 446.0 MB
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- 【影视】 Machine Learning with Python - Data Science for Beginners
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02 Introduction to Data Scientists Toolbox/022 Data Visualization.mp4 63.6 MB
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04 Machine Learning/042 Decision Trees Demo.mp4 41.2 MB
04 Machine Learning/041 Decision Trees.mp4 37.2 MB
03 Exploratory Data Analysis Feature Engineering and Hypothesis Testing/030 Feature Engineering.mp4 36.4 MB
04 Machine Learning/035 Introduction to Machine Learning.mp4 35.8 MB
04 Machine Learning/038 Regression Demo.mp4 32.5 MB
03 Exploratory Data Analysis Feature Engineering and Hypothesis Testing/028 Univariate Analysis 2.mp4 32.2 MB
03 Exploratory Data Analysis Feature Engineering and Hypothesis Testing/031 Introduction to Statistics.mp4 31.9 MB
04 Machine Learning/058 RF XGB Demo.mp4 31.7 MB
05 Capstone Project/065 EDA and Feature Engineering.mp4 28.4 MB
04 Machine Learning/055 Ensemble Modeling.mp4 28.4 MB
04 Machine Learning/049 Model Evaluation - Classification Demo.mp4 27.2 MB
04 Machine Learning/037 Simple Multiple Linear Regression.mp4 25.0 MB
05 Capstone Project/066 Approach for Model Development Evaluation Optimization.mp4 24.1 MB
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01 Introduction/004 The Problem Landscape.mp4 22.6 MB
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06 Face People and Car Detection/048 Face and Eye Detection.mp4 26.2 MB
01 Course Introduction and Setup/004 OpenCV Python Installation Windows.mp4 25.1 MB
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05 Object Detection/046 Histogram of Oriented Gradients.mp4 20.9 MB
04 Image Segmentation/036 Line Detection.mp4 20.1 MB
09 Motion Analysis and Object Tracking/057 Filtering by Color.mp4 19.6 MB
03 Image Manipulations/024 Blurring.mp4 18.9 MB
03 Image Manipulations/026 Thresholding Binarization.mp4 18.5 MB
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Monty.Python.and.the.Holy.Grail.1974.720p.BRRip.x264-x0r.mkv 1.5 GB
readme.txt 8.6 kB
Monty.Python.and.the.Holy.Grail.1974.720p.BRRip.x264-x0r.nfo 508 Bytes
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03 Training a neural network/026 Backpropagation in code.mp4 48.6 MB
07 Appendix/054 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
05 TensorFlow exercises practice and what to learn next/040 Visualizing what a neural network has learned using TensorFlow Playground.mp4 45.3 MB
02 Classifying more than 2 things at a time/011 Feedforward in Slow-Mo part 1.mp4 31.8 MB
06 Project Facial Expression Recognition/048 Facial Expression Recognition in Code Binary Sigmoid.mp4 26.4 MB
07 Appendix/055 How to Code by Yourself part 1.mp4 25.7 MB
06 Project Facial Expression Recognition/050 Facial Expression Recognition in Code ANN Softmax.mp4 24.6 MB
06 Project Facial Expression Recognition/045 Facial Expression Recognition Problem Description.mp4 22.5 MB
03 Training a neural network/028 E-Commerce Course Project Training Logistic Regression with Softmax.mp4 21.2 MB
06 Project Facial Expression Recognition/049 Facial Expression Recognition in Code Logistic Regression Softmax.mp4 20.7 MB
03 Training a neural network/023 Backpropagation Intro.mp4 20.0 MB
07 Appendix/053 Backpropagation with Softmax Troubleshooting.mp4 19.0 MB
02 Classifying more than 2 things at a time/012 Feedforward in Slow-Mo part 2.mp4 17.5 MB
05 TensorFlow exercises practice and what to learn next/039 TensorFlow plug-and-play example.mp4 16.7 MB
03 Training a neural network/029 E-Commerce Course Project Training a Neural Network.mp4 16.2 MB
07 Appendix/056 How to Code by Yourself part 2.mp4 15.5 MB
01 What is a neural network/005 Introduction to the E-Commerce Course Project.mp4 15.5 MB
03 Training a neural network/021 What do all these symbols and letters mean.mp4 15.3 MB
05 TensorFlow exercises practice and what to learn next/044 Deep neural networks in just 3 lines of code with Sci-Kit Learn.mp4 14.8 MB
04 Practical Machine Learning/034 Donut and XOR Revisited.mp4 14.6 MB
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урок 8/8_3_white.mp4 55.2 MB
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Monty.Python.s01e03.rus.eng.Kybik.v.Kybe.avi 300.6 MB
Monty.Python.s01e06.rus.eng.Kybik.v.Kybe.avi 287.1 MB
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5.User Interface Design/25.How to Rock the World with Your GUI.mp4 118.9 MB
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4.Advanced Qt5 Programming/17.Networking and SQL Database.mp4 72.6 MB
2.Designing Python GUIs with Qt Designer/09.Qt Designer Widget Layout.mp4 68.9 MB
3. Enhancing the Qt5 GUI Functionality/13.Building a Complex GUI with PyQt5.mp4 59.3 MB
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3. Enhancing the Qt5 GUI Functionality/15.Using Drag and Drop Within the PyQt5 GUI.mp4 46.0 MB
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2.Designing Python GUIs with Qt Designer/10.Converting the Qt Designer UI Code to Python Code.mp4 43.5 MB
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3. BEGINNER PYTHON FUNDAMENTALS - Part C/7. Matplotlib - Part 3.mp4 288.6 MB
3. BEGINNER PYTHON FUNDAMENTALS - Part C/8. Seaborn.mp4 279.6 MB
3. BEGINNER PYTHON FUNDAMENTALS - Part C/3. Pandas - Part 1.mp4 259.5 MB
3. BEGINNER PYTHON FUNDAMENTALS - Part C/4. Pandas - Part 2.mp4 248.8 MB
3. BEGINNER PYTHON FUNDAMENTALS - Part C/1. Numpy Basics - Part 1.mp4 230.4 MB
4. PRACTICAL PROJECTS IN PYTHON/4. Project #3 - Build a Fortune Teller Game.vtt 213.3 MB
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5. MACHINE LEARNING IN PYTHON/16. Case Study 2 - Improving the Model.mp4 199.1 MB
5. MACHINE LEARNING IN PYTHON/16. Case Study 2 - Improving the Model.vtt 199.1 MB
4. PRACTICAL PROJECTS IN PYTHON/1. Project #1 - Build a Guessing Game.mp4 196.7 MB
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