Long past the 1.5 TiB barrier...
  • Anonymous
  • 2023-12-15 22:35:50
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ReScene version pyReScene Auto 0.7 BOOKTIME File size CRC
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17,107
Stored files
99 49B74A92
1,500 99941F36
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Total size: 748,615,967
Archived files
Chapter_3-Introduction_to_NumPy_Foundations_of_Numerical_Computing\10. NumPy Array Reshaping [ Numerical Python ].mp4 [f47cea26aa99887a] 33,787,203 BCBD8DE9
Chapter_3-Introduction_to_NumPy_Foundations_of_Numerical_Computing\11. NumPy Array Iterating [ Numerical Python ].mp4 [447d7f8c1b47a88d] 14,858,397 18F61565
Chapter_3-Introduction_to_NumPy_Foundations_of_Numerical_Computing\5. Introduction to NumPy.mp4 [df395d3141af65e2] 7,550,162 FBF2B541
Chapter_3-Introduction_to_NumPy_Foundations_of_Numerical_Computing\6. Create a NumPy ndarray Object.mp4 [abc95bb0a53b9a22] 51,739,825 9149FDEC
Chapter_3-Introduction_to_NumPy_Foundations_of_Numerical_Computing\7. NumPy Array Indexing.mp4 [60c6bfd44f1a3874] 57,568,232 A46E55C4
Chapter_3-Introduction_to_NumPy_Foundations_of_Numerical_Computing\8. NumPy Array Slicing [ Numerical Python ].mp4 [ac0ed04d0e5b0382] 24,597,343 C8E96083
Chapter_3-Introduction_to_NumPy_Foundations_of_Numerical_Computing\9. NumPy Array Copy vs View [ Numerical Python ].mp4 [5d162e9259b5c996] 26,592,929 1B8996AB
Chapter_4-Introduction_to_Pandas_A_Powerful_Data_Analysis_Libary\12. Pandas Introduction.mp4 [dc58d8386bc67590] 3,179,238 A5934925
Chapter_4-Introduction_to_Pandas_A_Powerful_Data_Analysis_Libary\13. Pandas DataFrames.mp4 [3e04b89e60179c05] 16,232,232 B5C2E86E
Chapter_4-Introduction_to_Pandas_A_Powerful_Data_Analysis_Libary\14. Pandas Read CSV & Analyzing DataFrames.mp4 [a419928140860810] 34,217,463 8DD8AD9B
Chapter_4-Introduction_to_Pandas_A_Powerful_Data_Analysis_Libary\15. Pandas - Cleaning Empty Cells.mp4 [f5f8ca55cb803e25] 34,895,052 0442377F
Chapter_4-Introduction_to_Pandas_A_Powerful_Data_Analysis_Libary\16. Pandas - Removing Duplicates.mp4 [b7ae85a785e155bf] 19,903,588 EA8A34F2
Chapter_4-Introduction_to_Pandas_A_Powerful_Data_Analysis_Libary\17. Pandas - Data Correlations.mp4 [ec4d3a198f1afcd1] 41,524,544 53E46ACA
Chapter_5-Matplotlib_Tutorial\18. Matplotlib Tutorial Part 1.mp4 [e6130898ac8d5ffc] 49,178,042 F9B1E1A8
Chapter_6-Scikit-learn_Essentials_Pythons_ML_Powerhouse_(Getting_started)\19. Python Machine Learning Scikit-Learn [Getting started ].mp4 [56729af89a7f671a] 96,177,686 CEF7C267
Chapter_6-Scikit-learn_Essentials_Pythons_ML_Powerhouse_(Getting_started)\20. Python Machine Learning Scikit-Learn [Data Preprocessing ].mp4 [dbcf5bc0e8c8104] 64,546,074 44223E77
Chapter_6-Scikit-learn_Essentials_Pythons_ML_Powerhouse_(Getting_started)\21. Python Machine Learning Scikit-Learn [ Model Training ].mp4 [1358cbdd7ad4827a] 58,420,255 49CB5067
Chapter_1-Introduction\1. Introduction to Course Python Data Science Fundamentals Getting Started.mp4 [297490ce0cbbd9bf] 40,499,862 D4EEAC0C
Chapter_1-Introduction\3. Prerequisite for This Course Embark on Your Data Science Journey.mp4 [edce4945722dc86a] 7,072,214 BABCDA48
Chapter_2-Setting_up_the_Environment\4. Download and Install Anaconda Environment.mp4 [dd7d51577abb4956] 66,063,022 F5F8B4E4
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Chapter_6-Scikit-learn_Essentials_Pythons_ML_Powerhouse_(Getting_started) 0 00000000
Chapter_1-Introduction 0 00000000
Chapter_2-Setting_up_the_Environment 0 00000000

Total size: 748,603,363
RAR Recovery
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