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[FreeCourseSite.com] Udemy - Complete Data Science & Machine Learning A-Z with Python
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0. Websites you may like
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[CourseClub.Me].url - 122 B
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[FreeCourseSite.com].url - 127 B
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[GigaCourse.Com].url - 49 B
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1. Installations
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1. Installing Anaconda Distribution for Windows.mp4 - 118.32 MB
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2. Notebook Project Files Link regarding NumPy Python Programming Language Library.html - 155 B
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3. Installing Anaconda Distribution for MacOs.mp4 - 46.31 MB
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4. 6 Article Advice And Links about Numpy, Numpy Pyhon.html - 4.19 KB
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5. Installing Anaconda Distribution for Linux.mp4 - 114.75 MB
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10. Element Selection Operations in DataFrame Structures
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1. Element Selection Operations in Pandas DataFrames Lesson 1.mp4 - 29.9 MB
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2. Element Selection Operations in Pandas DataFrames Lesson 2.mp4 - 31.84 MB
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3. Top Level Element Selection in Pandas DataFramesLesson 1.mp4 - 38.29 MB
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4. Top Level Element Selection in Pandas DataFramesLesson 2.mp4 - 31.41 MB
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5. Top Level Element Selection in Pandas DataFramesLesson 3.mp4 - 22.11 MB
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6. Element Selection with Conditional Operations in.mp4 - 46.37 MB
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7. Quiz.html - 205 B
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11. Structural Operations on Pandas DataFrame
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0. Websites you may like
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[CourseClub.Me].url - 122 B
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[FreeCourseSite.com].url - 127 B
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[GigaCourse.Com].url - 49 B
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1. Adding Columns to Pandas Data Frames.mp4 - 33.58 MB
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2. Removing Rows and Columns from Pandas Data frames.mp4 - 15.56 MB
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3. Null Values in Pandas Dataframes.mp4 - 66.96 MB
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4. Dropping Null Values Dropna() Function.mp4 - 34.54 MB
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5. Filling Null Values Fillna() Function.mp4 - 51.62 MB
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6. Setting Index in Pandas DataFrames.mp4 - 39.7 MB
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7. Quiz.html - 205 B
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12. Multi-Indexed DataFrame Structures
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1. Multi-Index and Index Hierarchy in Pandas DataFrames.mp4 - 42.66 MB
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2. Element Selection in Multi-Indexed DataFrames.mp4 - 24.58 MB
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3. Selecting Elements Using the xs() Function in Multi-Indexed DataFrames.mp4 - 31.25 MB
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4. Quiz.html - 205 B
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13. Structural Concatenation Operations in Pandas DataFrame
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1. Concatenating Pandas Dataframes Concat Function.mp4 - 63.84 MB
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2. Merge Pandas Dataframes Merge() Function Lesson 1.mp4 - 57.29 MB
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3. Merge Pandas Dataframes Merge() Function Lesson 2.mp4 - 30.55 MB
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4. Merge Pandas Dataframes Merge() Function Lesson 3.mp4 - 60.17 MB
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5. Merge Pandas Dataframes Merge() Function Lesson 4.mp4 - 40.68 MB
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6. Joining Pandas Dataframes Join() Function.mp4 - 56.05 MB
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7. Quiz.html - 205 B
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14. Functions That Can Be Applied on a DataFrame
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1. Loading a Dataset from the Seaborn Library.mp4 - 37.72 MB
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10. Quiz.html - 205 B
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2. Examining the Data Set 1.mp4 - 42.9 MB
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3. Aggregation Functions in Pandas DataFrames.mp4 - 90.69 MB
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4. Examining the Data Set 2.mp4 - 46.58 MB
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5. Coordinated Use of Grouping and Aggregation Functions in Pandas Dataframes.mp4 - 88.12 MB
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6. Advanced Aggregation Functions Aggregate() Function.mp4 - 29.22 MB
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7. Advanced Aggregation Functions Filter() Function.mp4 - 24.45 MB
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8. Advanced Aggregation Functions Transform() Function.mp4 - 47.09 MB
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9. Advanced Aggregation Functions Apply() Function.mp4 - 41.42 MB
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15. Pivot Tables in Pandas Library
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1. Examining the Data Set 3.mp4 - 39.11 MB
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2. Pivot Tables in Pandas Library.mp4 - 54.23 MB
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3. Quiz.html - 205 B
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16. File Operations in Pandas Library
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1. Accessing and Making Files Available.mp4 - 34.61 MB
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2. Data Entry with Csv and Txt Files.mp4 - 64.34 MB
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3. Data Entry with Excel Files.mp4 - 21.84 MB
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4. Outputting as an CSV Extension.mp4 - 35.7 MB
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5. Outputting as an Excel File.mp4 - 19.74 MB
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6. Quiz.html - 205 B
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17. Code Files And Resources Python data analysis and visualization
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1. Data Visualisation - Matplotlib Files.html - 170 B
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2. Data Visualisation - Seaborn Files.html - 170 B
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3. Data Visualisation - Geoplotlib.html - 168 B
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18. Introduction to Data Visualization with Python
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1. Introduction to Data Visualization with Python.mp4 - 12.85 MB
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2. FAQ regarding Data Visualization, Python.html - 8.59 KB
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19. Fundamentals of Python 3
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1. Data Types in Python.mp4 - 47.07 MB
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10. Exercise - Solution in Python.mp4 - 51.89 MB
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11. Quiz.html - 205 B
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2. Operators in Python.mp4 - 35.71 MB
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3. Conditionals in Python.mp4 - 41.23 MB
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4. Loops in Python.mp4 - 58.81 MB
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5. Lists, Tuples, Dictionaries and Sets in pyhton.mp4 - 75.33 MB
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6. Data Type Operators and Methods in Python.mp4 - 43.86 MB
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7. Modules in Python.mp4 - 23.95 MB
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8. Functions in Python.mp4 - 28.93 MB
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9. Exercise - Analyse in Python.mp4 - 8.46 MB
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2. NumPy Library Introduction
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1. Introduction to NumPy Library.mp4 - 45.27 MB
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2. The Power of NumPy.mp4 - 59.87 MB
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3. Quiz.html - 205 B
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20. Object Oriented Programming (OOP)
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1. Logic of Object Oriented Programming.mp4 - 17.38 MB
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2. Constructor in Object Oriented Programming (OOP).mp4 - 35.84 MB
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3. Methods in Object Oriented Programming (OOP).mp4 - 25.1 MB
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4. Inheritance in Object Oriented Programming (OOP).mp4 - 34.58 MB
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5. Overriding and Overloading in Object Oriented Programming (OOP).mp4 - 62.7 MB
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6. Quiz.html - 205 B
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21. Matplotlib
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1. What is Matplotlib.mp4 - 19.06 MB
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10. Quiz.html - 205 B
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2. Using Pyplot.mp4 - 28.22 MB
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3. Pyplot – Pylab - Matplotlib.mp4 - 28.37 MB
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4. Figure, Subplot and Axex.mp4 - 69.89 MB
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5. Figure Customization.mp4 - 63.29 MB
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6. Plot Customization.mp4 - 27.38 MB
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7. Grid, Spines, Ticks.mp4 - 23.89 MB
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8. Basic Plots in Matplotlib I.mp4 - 111.17 MB
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9. Basic Plots in Matplotlib II.mp4 - 54.82 MB
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22. Seaborn
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1. What is Seaborn.mp4 - 13.59 MB
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2. Controlling Figure Aesthetics in Seaborn.mp4 - 41.82 MB
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3. Example in Seaborn.mp4 - 54.9 MB
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4. Color Palettes in Seaborn.mp4 - 48.32 MB
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5. Basic Plots in Seaborn.mp4 - 98.84 MB
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6. Multi-Plots in Seaborn.mp4 - 42.98 MB
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7. Regression Plots and Squarify in Seaborn.mp4 - 60.1 MB
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8. Quiz.html - 205 B
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23. Geoplotlib
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1. What is Geoplotlib.mp4 - 34.18 MB
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2. Example - 1.mp4 - 38.85 MB
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3. Example - 2.mp4 - 81.14 MB
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4. Example - 3.mp4 - 51.28 MB
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5. Quiz.html - 205 B
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24. First Contact with Machine Learning
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1. What is Machine Learning.mp4 - 27.58 MB
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2. Machine Learning Terminology.mp4 - 14.03 MB
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3. Machine Learning Project Files.html - 254 B
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4. FAQ regarding Python.html - 6.23 KB
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5. FAQ regarding Machine Learning.html - 6.59 KB
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6. Quiz.html - 205 B
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25. Evaluation Metrics in Machine Learning
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1. Classification vs Regression in Machine Learning.mp4 - 19.89 MB
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2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4 - 100.26 MB
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3. Evaluating Performance Regression Error Metrics in Python.mp4 - 45.7 MB
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4. Machine Learning With Python.mp4 - 92.24 MB
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5. Quiz.html - 205 B
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26. Supervised Learning with Machine Learning
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0. Websites you may like
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[CourseClub.Me].url - 122 B
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[FreeCourseSite.com].url - 127 B
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[GigaCourse.Com].url - 49 B
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1. What is Supervised Learning in Machine Learning.mp4 - 31.69 MB
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2. Quiz.html - 205 B
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27. Linear Regression Algorithm in Machine Learning A-Z
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1. Linear Regression Algorithm Theory in Machine Learning A-Z.mp4 - 34.06 MB
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2. Linear Regression Algorithm With Python Part 1.mp4 - 76.17 MB
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3. Linear Regression Algorithm With Python Part 2.mp4 - 106.94 MB
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4. Linear Regression Algorithm With Python Part 3.mp4 - 70.28 MB
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5. Linear Regression Algorithm With Python Part 4.mp4 - 90 MB
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28. Bias Variance Trade-Off in Machine Learning
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1. What is Bias Variance Trade-Off.mp4 - 55.03 MB
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2. Quiz.html - 205 B
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29. Logistic Regression Algorithm in Machine Learning A-Z
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1. What is Logistic Regression Algorithm in Machine Learning.mp4 - 27.84 MB
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2. Logistic Regression Algorithm with Python Part 1.mp4 - 72.22 MB
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3. Logistic Regression Algorithm with Python Part 2.mp4 - 81.46 MB
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4. Logistic Regression Algorithm with Python Part 3.mp4 - 47.35 MB
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5. Logistic Regression Algorithm with Python Part 4.mp4 - 47.17 MB
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6. Logistic Regression Algorithm with Python Part 5.mp4 - 39.35 MB
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7. Quiz.html - 205 B
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3. Creating NumPy Array in Python
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1. Creating NumPy Array with The Array() Function.mp4 - 29.5 MB
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10. Quiz.html - 205 B
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2. Creating NumPy Array with Zeros() Function.mp4 - 24.06 MB
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3. Creating NumPy Array with Ones() Function.mp4 - 15.88 MB
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4. Creating NumPy Array with Full() Function.mp4 - 11.18 MB
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5. Creating NumPy Array with Arange() Function.mp4 - 12.1 MB
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6. Creating NumPy Array with Eye() Function.mp4 - 12.55 MB
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7. Creating NumPy Array with Linspace() Function.mp4 - 7.34 MB
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8. Creating NumPy Array with Random() Function.mp4 - 43.3 MB
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9. Properties of NumPy Array.mp4 - 21.98 MB
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30. K-fold Cross-Validation in Machine Learning A-Z
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1. K-Fold Cross-Validation Theory.mp4 - 17.45 MB
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2. K-Fold Cross-Validation with Python.mp4 - 34.67 MB
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31. K Nearest Neighbors Algorithm in Machine Learning A-Z
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1. K Nearest Neighbors Algorithm Theory.mp4 - 28.66 MB
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2. K Nearest Neighbors Algorithm with Python Part 1.mp4 - 35.03 MB
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3. K Nearest Neighbors Algorithm with Python Part 2.mp4 - 59.37 MB
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4. K Nearest Neighbors Algorithm with Python Part 3.mp4 - 31.4 MB
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5. Quiz.html - 205 B
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32. Hyperparameter Optimization
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1. Hyperparameter Optimization Theory.mp4 - 33.14 MB
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2. Hyperparameter Optimization with Python.mp4 - 47.47 MB
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33. Decision Tree Algorithm in Machine Learning A-Z
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1. Decision Tree Algorithm Theory.mp4 - 35.75 MB
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2. Decision Tree Algorithm with Python Part 1.mp4 - 31.53 MB
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3. Decision Tree Algorithm with Python Part 2.mp4 - 48.92 MB
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4. Decision Tree Algorithm with Python Part 3.mp4 - 14.72 MB
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5. Decision Tree Algorithm with Python Part 4.mp4 - 42.49 MB
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6. Decision Tree Algorithm with Python Part 5.mp4 - 32.67 MB
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7. Quiz.html - 205 B
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34. Random Forest Algorithm in Machine Learning A-Z
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1. Random Forest Algorithm Theory.mp4 - 22.89 MB
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2. Random Forest Algorithm with Pyhon Part 1.mp4 - 38.61 MB
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3. Random Forest Algorithm with Pyhon Part 2.mp4 - 38.72 MB
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35. Support Vector Machine Algorithm in Machine Learning A-Z
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1. Support Vector Machine Algorithm Theory.mp4 - 21.84 MB
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2. Support Vector Machine Algorithm with Python Part 1.mp4 - 35.59 MB
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3. Support Vector Machine Algorithm with Python Part 2.mp4 - 41.72 MB
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4. Support Vector Machine Algorithm with Python Part 3.mp4 - 34.77 MB
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5. Support Vector Machine Algorithm with Python Part 4.mp4 - 37.55 MB
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6. Quiz.html - 205 B
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36. Unsupervised Learning with Machine Learning
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1. Unsupervised Learning Overview.mp4 - 16.91 MB
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37. K Means Clustering Algorithm in Machine Learning A-Z
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1. K Means Clustering Algorithm Theory.mp4 - 17.13 MB
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2. K Means Clustering Algorithm with Python Part 1.mp4 - 29.96 MB
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3. K Means Clustering Algorithm with Python Part 2.mp4 - 29.64 MB
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4. K Means Clustering Algorithm with Python Part 3.mp4 - 27.75 MB
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5. K Means Clustering Algorithm with Python Part 4.mp4 - 29.03 MB
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6. Quiz.html - 205 B
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38. Hierarchical Clustering Algorithm in machine learning data science
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1. Hierarchical Clustering Algorithm Theory.mp4 - 28.55 MB
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2. Hierarchical Clustering Algorithm with Python Part 2.mp4 - 35.52 MB
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3. Hierarchical Clustering Algorithm with Python Part 2.mp4 - 28.89 MB
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39. Principal Component Analysis (PCA) in Machine Learning A-Z
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1. Principal Component Analysis (PCA) Theory.mp4 - 37.96 MB
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2. Principal Component Analysis (PCA) with Python Part 1.mp4 - 26.02 MB
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3. Principal Component Analysis (PCA) with Python Part 2.mp4 - 8.42 MB
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4. Principal Component Analysis (PCA) with Python Part 3.mp4 - 37.25 MB
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4. Functions in the NumPy Library
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1. Reshaping a NumPy Array Reshape() Function.mp4 - 26.16 MB
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2. Identifying the Largest Element of a Numpy Array.mp4 - 15.12 MB
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3. Detecting Least Element of Numpy Array Min(), Ar.mp4 - 10.17 MB
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4. Concatenating Numpy Arrays Concatenate() Functio.mp4 - 38.36 MB
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5. Splitting One-Dimensional Numpy Arrays The Split.mp4 - 20.9 MB
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6. Splitting Two-Dimensional Numpy Arrays Split(),.mp4 - 35.73 MB
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7. Sorting Numpy Arrays Sort() Function.mp4 - 17.02 MB
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8. Quiz.html - 205 B
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40. Recommender System Algorithm in Machine Learning A-Z
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1. What is the Recommender System Part 1.mp4 - 23.04 MB
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2. What is the Recommender System Part 2.mp4 - 17.96 MB
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41. First Contact with Kaggle
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1. What is Kaggle.mp4 - 129.67 MB
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2. FAQ about Kaggle.html - 10.94 KB
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3. Registering on Kaggle and Member Login Procedures.mp4 - 43.48 MB
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4. Project Link File - Hearth Attack Prediction Project, Machine Learning.html - 97 B
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5. Getting to Know the Kaggle Homepage.mp4 - 122.93 MB
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6. quiz.html - 205 B
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42. Competition Section on Kaggle
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1. Competitions on Kaggle Lesson 1.mp4 - 188.17 MB
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2. Competitions on Kaggle Lesson 2.mp4 - 191.68 MB
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43. Dataset Section on Kaggle
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1. Datasets on Kaggle.mp4 - 133.23 MB
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2. Quiz.html - 205 B
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44. Code Section on Kaggle
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1. Examining the Code Section in Kaggle Lesson 1.mp4 - 79.53 MB
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2. Examining the Code Section in Kaggle Lesson 2.mp4 - 105.81 MB
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3. Examining the Code Section in Kaggle Lesson 3.mp4 - 159.89 MB
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4. Quiz.html - 205 B
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45. Discussion Section on Kaggle
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1. What is Discussion on Kaggle.mp4 - 40.63 MB
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2. Quiz.html - 205 B
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46. Other Most Used Options on Kaggle
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1. Courses in Kaggle.mp4 - 52.14 MB
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2. Ranking Among Users on Kaggle.mp4 - 107.04 MB
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3. Blog and Documentation Sections.mp4 - 40.85 MB
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4. Quiz.html - 205 B
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47. Details on Kaggle
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1. User Page Review on Kaggle.mp4 - 81.5 MB
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2. Treasure in The Kaggle.mp4 - 74.64 MB
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3. Publishing Notebooks on Kaggle.mp4 - 38.2 MB
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4. What Should Be Done to Achieve Success in Kaggle.mp4 - 58.48 MB
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5. Quiz.html - 205 B
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48. Introduction to Machine Learning with Real Hearth Attack Prediction Project
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1. First Step to the Hearth Attack Prediction Project.mp4 - 117.14 MB
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2. FAQ about Machine Learning, Data Science.html - 15.29 KB
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3. Notebook Design to be Used in the Project.mp4 - 104.93 MB
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4. Project Link File - Hearth Attack Prediction Project, Machine Learning.html - 108 B
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5. Examining the Project Topic.mp4 - 76.51 MB
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6. Recognizing Variables In Dataset.mp4 - 126.87 MB
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7. Quiz.html - 205 B
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49. First Organization
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1. Required Python Libraries.mp4 - 63.55 MB
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2. Loading the Statistics Dataset in Data Science.mp4 - 10 MB
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3. Initial analysis on the dataset.mp4 - 63.96 MB
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4. Quiz.html - 205 B
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5. Indexing, Slicing, and Assigning NumPy Arrays
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1. Indexing Numpy Arrays,.mp4 - 26.56 MB
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2. Slicing One-Dimensional Numpy Arrays.mp4 - 22.27 MB
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3. Slicing Two-Dimensional Numpy Arrays.mp4 - 34.27 MB
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4. Assigning Value to One-Dimensional Arrays.mp4 - 18.2 MB
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5. Assigning Value to Two-Dimensional Array.mp4 - 35.4 MB
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6. Fancy Indexing of One-Dimensional Arrrays.mp4 - 20.49 MB
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7. Fancy Indexing of Two-Dimensional Arrrays.mp4 - 45.75 MB
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8. Combining Fancy Index with Normal Indexing.mp4 - 12.65 MB
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9. Combining Fancy Index with Normal Slicing.mp4 - 16.46 MB
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50. Preparation For Exploratory Data Analysis (EDA) in Data Science
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1. Examining Missing Values.mp4 - 45.79 MB
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2. Examining Unique Values.mp4 - 44.54 MB
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3. Separating variables (Numeric or Categorical).mp4 - 15.81 MB
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4. Examining Statistics of Variables.mp4 - 91.37 MB
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5. Quiz.html - 205 B
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51. Exploratory Data Analysis (EDA) - Uni-variate Analysis
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1. Numeric Variables (Analysis with Distplot) Lesson 1.mp4 - 80.35 MB
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2. Numeric Variables (Analysis with Distplot) Lesson 2.mp4 - 19.75 MB
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3. Categoric Variables (Analysis with Pie Chart) Lesson 1.mp4 - 74.74 MB
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4. Categoric Variables (Analysis with Pie Chart) Lesson 2.mp4 - 84.06 MB
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5. Examining the Missing Data According to the Analysis Result.mp4 - 53.78 MB
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6. Quiz.html - 205 B
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52. Exploratory Data Analysis (EDA) - Bi-variate Analysis
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1. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 1.mp4 - 49.37 MB
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10. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 2.mp4 - 68.08 MB
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11. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 1.mp4 - 38.07 MB
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12. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 2.mp4 - 35.47 MB
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13. Relationships between variables (Analysis with Heatmap) Lesson 1.mp4 - 36.36 MB
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14. Relationships between variables (Analysis with Heatmap) Lesson 2.mp4 - 90.67 MB
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15. Quiz.html - 205 B
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2. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 2.mp4 - 35.64 MB
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3. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 1.mp4 - 24.15 MB
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4. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 2.mp4 - 56.27 MB
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5. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 1.mp4 - 28.31 MB
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6. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 2.mp4 - 47.14 MB
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7. Feature Scaling with the Robust Scaler Method.mp4 - 35.2 MB
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8. Creating a New DataFrame with the Melt() Function.mp4 - 52.89 MB
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9. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 1.mp4 - 41.72 MB
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53. Preparation for Modelling in Machine Learning
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1. Dropping Columns with Low Correlation.mp4 - 26.83 MB
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10. Feature Scaling with the Robust Scaler Method for Machine Learning Algorithms.mp4 - 11.45 MB
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11. Separating Data into Test and Training Set.mp4 - 29.75 MB
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12. Quiz.html - 205 B
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2. Visualizing Outliers.mp4 - 34.89 MB
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3. Dealing with Outliers – Trtbps Variable Lesson 1.mp4 - 42.82 MB
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4. Dealing with Outliers – Trtbps Variable Lesson 2.mp4 - 43.91 MB
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5. Dealing with Outliers – Thalach Variable.mp4 - 36.24 MB
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6. Dealing with Outliers – Oldpeak Variable.mp4 - 36.06 MB
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7. Determining Distributions of Numeric Variables.mp4 - 25.17 MB
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8. Transformation Operations on Unsymmetrical Data.mp4 - 24.01 MB
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9. Applying One Hot Encoding Method to Categorical Variables.mp4 - 24.09 MB
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54. Modelling for Machine Learning
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1. Logistic Regression.mp4 - 29.34 MB
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2. Cross Validation.mp4 - 30.21 MB
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3. Roc Curve and Area Under Curve (AUC).mp4 - 41.71 MB
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4. Hyperparameter Optimization (with GridSearchCV).mp4 - 58.77 MB
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5. Decision Tree Algorithm.mp4 - 25.7 MB
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6. Support Vector Machine Algorithm.mp4 - 24.52 MB
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7. Random Forest Algorithm.mp4 - 29.78 MB
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8. Hyperparameter Optimization (with GridSearchCV).mp4 - 52.65 MB
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9. Quiz.html - 205 B
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55. Conclusion
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1. Project Conclusion and Sharing.mp4 - 28.66 MB
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2. Quiz.html - 205 B
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56. Extra
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1. Complete Data Science & Machine Learning A-Z with Python.html - 266 B
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6. Operations in Numpy Library
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1. Operations with Comparison Operators.mp4 - 21.14 MB
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2. Arithmetic Operations in Numpy.mp4 - 71.82 MB
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3. Statistical Operations in Numpy.mp4 - 32.02 MB
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4. Solving Second-Degree Equations with NumPy.mp4 - 24.2 MB
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7. Pandas Library Introduction
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1. Introduction to Pandas Library.mp4 - 33.93 MB
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2. Pandas Project Files Link.html - 180 B
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3. Quiz.html - 205 B
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8. Series Structures in the Pandas Library
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1. Creating a Pandas Series with a List.mp4 - 39.19 MB
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2. Creating a Pandas Series with a Dictionary.mp4 - 18.29 MB
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3. Creating Pandas Series with NumPy Array.mp4 - 11.97 MB
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4. Object Types in Series.mp4 - 19.58 MB
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5. Examining the Primary Features of the Pandas Seri.mp4 - 18.94 MB
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6. Most Applied Methods on Pandas Series.mp4 - 48.21 MB
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7. Indexing and Slicing Pandas Series.mp4 - 29.89 MB
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8. Quiz.html - 205 B
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9. DataFrame Structures in Pandas Library
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1. Creating Pandas DataFrame with List.mp4 - 22.57 MB
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2. Creating Pandas DataFrame with NumPy Array.mp4 - 12.1 MB
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3. Creating Pandas DataFrame with Dictionary.mp4 - 15.84 MB
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4. Examining the Properties of Pandas DataFrames.mp4 - 25.94 MB
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5. Quiz.html - 205 B
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| udp://p4p.arenabg.com:1337/announce | 0 | 0 | 0 |
| udp://tracker.leech.ie:1337/announce | 0 | 0 | 0 |
| udp://movies.zsw.ca:6969/announce | 0 | 0 | 3 |
| udp://exodus.desync.com:6969/announce | 0 | 1 | 1 |
| udp://opentracker.i2p.rocks:6969/announce | 19 | 35 | 68 |
| udp://tracker.blacksparrowmedia.net:6969/announce | 0 | 0 | 0 |
| udp://tracker.theoks.net:6969/announce | 0 | 0 | 2 |
| udp://bt1.archive.org:6969/announce | 0 | 0 | 0 |
| udp://bt2.archive.org:6969/announce | 0 | 0 | 2 |
InfoHash:
995E52C707E965713E15F8BE5A94177580E2717E
Last updated:
Jun 28, 2023
File count:
307 B
File Category:
9
Tags:
with Python, A-Z, Learning, & Machine, Science, Data, Complete, Udemy, Other, Tutorials