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[ TutSala com ] Linkedin - NumPy Essential Training - 2 MatPlotlib and Linear Algebra Capabilities
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Torrent Files List
Get Bonus Downloads Here.url (Size: 192.04 MB) (Files: 66)
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01 - Introduction
01 - Introduction.mp4
01 - Introduction.srt
02 - What you should know.mp4
02 - What you should know.srt
02 - 1. Plotting with Matplotlib
01 - Why should you use Matplotlib.mp4
01 - Why should you use Matplotlib.srt
02 - Matplotlib basics.mp4
02 - Matplotlib basics.srt
03 - Understanding figures.mp4
03 - Understanding figures.srt
04 - Matplotlib subplots functionality.mp4
04 - Matplotlib subplots functionality.srt
05 - Understanding legends.mp4
05 - Understanding legends.srt
06 - Challenge Implementing a figure.mp4
06 - Challenge Implementing a figure.srt
07 - Solution Implementing a figure.mp4
07 - Solution Implementing a figure.srt
03 - 2. Matplotlib Styling and Advanced Plots
01 - Colors and styles.mp4
01 - Colors and styles.srt
02 - Advanced Matplotlib commands.mp4
02 - Advanced Matplotlib commands.srt
03 - Adding annotations.mp4
03 - Adding annotations.srt
04 - Creating pie charts and bar charts.mp4
04 - Creating pie charts and bar charts.srt
05 - Advanced plots.mp4
05 - Advanced plots.srt
04 - 3. From Beginner to Advanced NumPy
01 - Universal functions.mp4
01 - Universal functions.srt
02 - Introducing strides.mp4
02 - Introducing strides.srt
03 - Structured arrays.mp4
03 - Structured arrays.srt
04 - Dates and time in NumPy.mp4
04 - Dates and time in NumPy.srt
05 - 4. Linear Algebra in NumPy
01 - Linear algebra capabilities in NumPy.mp4
01 - Linear algebra capabilities in NumPy.srt
02 - Decomposition.mp4
02 - Decomposition.srt
03 - Polynomial mathematics.mp4
03 - Polynomial mathematics.srt
04 - Application Linear regression.mp4
04 - Application Linear regression.srt
06 - Conclusion
01 - Next steps.mp4
01 - Next steps.srt
Bonus Resources.txt
Ex_Files_NumPy_EssT_2
Exercise Files
CH01
01_02.ipynb
01_03.ipynb
01_04.ipynb
01_05.ipynb
01_07.ipynb
CH02
02_01.ipynb
02_02.ipynb
02_03.ipynb
02_04.ipynb
02_05.ipynb
CH03
03_01.ipynb
03_02.ipynb
03_03.ipynb
03_04.ipynb
CH04
04_01.ipynb
04_02.ipynb
04_03.ipynb
04_04.ipynb
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