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17. Convolutional Neural Networks/8. Convolutional neural networks - illustration.vtt 74.0 MB
2. Installations/3. Installing Keras and TensorFlow.vtt 68.5 MB
8. Decision Trees/3. Decision trees introduction - information gain.mp4 49.2 MB
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3. Linear Regression/1. Linear regression introduction.mp4 27.7 MB
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19. Course Materials (DOWNLOADS)/1.1 PythonMachineLearning.zip.zip 23.0 MB
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12. Neural Networks/17. Gradient calculation I - output layer.mp4 21.3 MB
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05. Graphing and visualization/08. Plotting with Sympy exercises.srt 129.7 MB
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05. Graphing and visualization/13. Graphing bug hunt!.mp4 123.5 MB
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12. Probabilities and histograms/06. Building distributions from random numbers.mp4 100.1 MB
11. Linear algebra/12. Solving a system of equations.mp4 96.8 MB
05. Graphing and visualization/09. Making images from matrices.mp4 95.3 MB
11. Linear algebra/09. Various special matrices.mp4 94.6 MB
03. Introduction to Sympy and LaTeX/04. Intro to Sympy, part 2.mp4 94.1 MB
10. Calculus/13. Finding critical points exercise.mp4 93.9 MB
02. Arithmetic/16. Arithmetic bug hunt!.mp4 93.2 MB
02. Arithmetic/04. Printing out equations in Jupyter notebook.mp4 92.9 MB
12. Probabilities and histograms/08. The central limit theorem.mp4 90.5 MB
03. Introduction to Sympy and LaTeX/03. Intro to LaTeX.mp4 89.8 MB
06. Algebra 2/16. Graphing the complex roots of unity.mp4 88.5 MB
10. Calculus/12. Finding critical points.mp4 87.6 MB
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~Get Your Files Here !/2. Object tracking/18. Object detection + object tracking 2.mp4 153.7 MB
~Get Your Files Here !/2. Object tracking/27. Optical flow algorithm (sparse) – implementation 2.mp4 133.9 MB
~Get Your Files Here !/2. Object tracking/22. Meanshift algorithm - implementation 3.mp4 121.9 MB
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~Get Your Files Here !/2. Object tracking/25. Optical flow algorithm (sparse) – intuition.mp4 82.3 MB
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03 Data Analysis with Power BI/PowerBI.accdb 808.1 MB
02 Data Analysis with Python/006 Basic data cleaning.mp4 123.8 MB
03 Data Analysis with Power BI/020 Importing and transforming data from Access db file.mp4 83.0 MB
04 Data Analysis with Excel/011 Enhancing query.mp4 82.8 MB
03 Data Analysis with Power BI/015 Clean and transform data _ Part 2.mp4 81.8 MB
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04 Data Analysis with Excel/001 Office 365 setup ( Optional).mp4 74.8 MB
04 Data Analysis with Excel/018 Update Queries.mp4 70.2 MB
02 Data Analysis with Python/009 Visualizing quantitative data.mp4 65.8 MB
03 Data Analysis with Power BI/036 Transform less structured data_ Part 2.mp4 62.2 MB
05 Data Analysis with Tableau/006 Join related data sources.mp4 57.9 MB
03 Data Analysis with Power BI/035 Transform less structured data_ Part 1.mp4 57.8 MB
02 Data Analysis with Python/004 Analysing and manipulating pandas dataframe.mp4 56.0 MB
04 Data Analysis with Excel/016 Analyse data with Pivot Charts.mp4 55.1 MB
03 Data Analysis with Power BI/028 Removing and reordering columns.mp4 54.1 MB
04 Data Analysis with Excel/015 Analyse Data with Pivot Tables.mp4 53.2 MB
02 Data Analysis with Python/008 Visualizing qualitative data.mp4 52.0 MB
04 Data Analysis with Excel/017 Refresh Source Data.mp4 51.6 MB
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5. Graphing and visualization/8. Plotting with Sympy exercises.srt 129.7 MB
11. Linear algebra/18. Linear algebra BUG HUNT!.mp4 129.6 MB
6. Algebra 2/23. Algebra 2 bug hunt!.mp4 127.1 MB
5. Graphing and visualization/13. Graphing bug hunt!.mp4 123.5 MB
10. Calculus/19. Calculus bug hunt!.mp4 109.7 MB
6. Algebra 2/6. The quadratic equation.mp4 100.6 MB
12. Probabilities and histograms/6. Building distributions from random numbers.mp4 100.1 MB
11. Linear algebra/12. Solving a system of equations.mp4 96.8 MB
5. Graphing and visualization/9. Making images from matrices.mp4 95.3 MB
11. Linear algebra/9. Various special matrices.mp4 94.6 MB
3. Introduction to Sympy and LaTeX/4. Intro to Sympy, part 2.mp4 94.1 MB
10. Calculus/13. Finding critical points exercise.mp4 93.9 MB
2. Arithmetic/16. Arithmetic bug hunt!.mp4 93.2 MB
2. Arithmetic/4. Printing out equations in Jupyter notebook.mp4 92.9 MB
12. Probabilities and histograms/8. The central limit theorem.mp4 90.5 MB
3. Introduction to Sympy and LaTeX/3. Intro to LaTeX.mp4 89.8 MB
6. Algebra 2/16. Graphing the complex roots of unity.mp4 88.5 MB
10. Calculus/12. Finding critical points.mp4 87.6 MB
8. Trigonometry/6. Converting angles exercise.mp4 86.8 MB
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29 Project-7 School donation analysis/260.Projects.csv 2.6 GB
29 Project-7 School donation analysis/261.Resources.csv 819.3 MB
29 Project-7 School donation analysis/258.Donations.csv 611.4 MB
19 Section-2 Python for data science and data visualisation/002 What is Datascience_.mp4 367.5 MB
29 Project-7 School donation analysis/006 First analysis.mp4 224.5 MB
02 Installing Python on Mac/002 Installing Python on Mac.mp4 221.7 MB
18 Project-4 Tic Tac Toe/008 Player move.mp4 220.7 MB
20 Numpy/003 Methods for Numpy.mp4 210.0 MB
27 Project-5 Plotter/004 Creating data.mp4 202.0 MB
27 Project-5 Plotter/008 Plotting 2 and 3 columns.mp4 197.7 MB
31 Tkinter/019 Menu and menu button.mp4 181.1 MB
23 Seaborn/004 Categories of plots.mp4 179.0 MB
21 Pandas/013 Loading data using pandas.mp4 169.8 MB
23 Seaborn/010 Matrix plots.mp4 169.1 MB
03 Installing Python on windows/003 Installing Atom.mp4 163.0 MB
16 Project-2 Dictionary/011 How to get the close matches.mp4 159.7 MB
27 Project-5 Plotter/007 Plotting 1 column.mp4 158.5 MB
27 Project-5 Plotter/009 Plotter.mp4 155.1 MB
33 Turtle graphics/004 Creating the robot.mp4 155.0 MB
32 Databases/006 Creating table in postgreSQL.mp4 154.5 MB

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Cloud Computing Service Models.ts 687.1 MB
Containers In The Cloud.ts 641.4 MB
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Cloud Computing Build Etl Pipelines.ts 431.9 MB
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Multi Cloud Onboarding With Cloud Computing.ts.avi 246.4 MB
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Chapter 4 Inheritance And Polymorphism_/6. Decorators, Static And Class Methods.ts 49.8 MB
Chapter 8 Efficiency And Testing/4. The Pytest Module - Part 1.ts 48.1 MB
Chapter 4 Inheritance And Polymorphism_/9. Composition Versus Inheritance.ts 46.0 MB
Chapter 8 Efficiency And Testing/7. Assignment 6 - Solution.ts 43.9 MB
Chapter 5 Advanced Features/4. Private Variable Names.ts 42.3 MB
Chapter 4 Inheritance And Polymorphism_/2. Inheritance Examples.ts 41.5 MB
Chapter 6 Exceptions/1. Trapping And Raising Exceptions.ts 35.8 MB
Chapter 8 Efficiency And Testing/3. Benchmarking - The Timeit Module.ts 29.1 MB
Chapter 8 Efficiency And Testing/1. Debugging - PDB.ts 24.9 MB
Chapter 3 Classes/10. Assignment 1 - Solution.ts 23.9 MB
Chapter 4 Inheritance And Polymorphism_/12. Assignment 2 For Extra Credit - Solution.ts 22.5 MB
Chapter 7 Object Serialization/3. YAML.ts 21.2 MB
Chapter 3 Classes/9. Assignment 1.ts 20.0 MB
Chapter 4 Inheritance And Polymorphism_/8. Method Overloading - Extending And Providing.ts 20.0 MB
Chapter 7 Object Serialization/1. Pickle.ts 19.6 MB
Chapter 1 Introduction To Object Oriented Python/2. What Is Object Oriented Programming And Why.ts 18.4 MB
Chapter 5 Advanced Features/6. New Style Classes.ts 18.3 MB
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Chapter 6 Exceptions/2. Custom Exceptions.ts 17.9 MB
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163. Automating with Multiprocessing - Python for Network Engineers _ CBT Nuggets.ts 114.2 MB
149. The Python Debugger - Python for Network Engineers _ CBT Nuggets.ts 96.0 MB
152. Handling Exceptions - Python for Network Engineers _ CBT Nuggets.ts 94.1 MB
156. The unittest Module - Python for Network Engineers _ CBT Nuggets.ts 86.8 MB
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150. Configure Logging - Python for Network Engineers _ CBT Nuggets.ts 69.5 MB
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19. Decision Trees and Random Forests/4. Decision Trees and Random Forest Solutions Part 1.srt 209.9 MB
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