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TORRENT DETAILS
Udemy - Machine Learning From Scratch - Numpy Library From Scratch
TORRENT SUMMARY
Status:
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Learn how to use Jupyter Notebook through many exercises in this course
Learn basic Python syntax
Learn 8 important Numpy library functions frequently used in Data analysis, Machine -
learning and the general data science through many worked examples
Learn syntax and semantics of the Numpy Library through many worked examples
Requirements
No Programming experience or Mathematical expertise is required for this course. The
course is self sufficient.
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FILE LIST
Filename
Size
~Get Your Files Here !/1 - Introduction/1 - INTODUCTION TO NUMPY Introduce PYTHON Numpy library to students.mp4
90.4 MB
~Get Your Files Here !/10 - STACK/12 - STACK.mp4
42.9 MB
~Get Your Files Here !/2 - JUPYTER NOTEBOOK/2 - Learn why Jupyter Notebook is the best App for learning Python programming.mp4
94 MB
~Get Your Files Here !/3 - PYTHON LISTS/3 - PYTHON LIST.mp4
49.1 MB
~Get Your Files Here !/4 - Numpy Arrays/4 - 1 Dimensional array.mp4
128.8 MB
~Get Your Files Here !/4 - Numpy Arrays/5 - LINSPACE.mp4
74.6 MB
~Get Your Files Here !/4 - Numpy Arrays/6 - ARANGE.mp4
53.8 MB
~Get Your Files Here !/5 - MULTIDIMENSIONAL ARRAYS/7 - MULTIDIMENSIONAL ARRAYS.mp4
54.6 MB
~Get Your Files Here !/6 - Numpy SHAPE function/8 - Numpy shape function.mp4
113.1 MB
~Get Your Files Here !/7 - Numpy Reshape function/9 - Numpy Reshape Function.mp4
58.1 MB
~Get Your Files Here !/8 - 1D SLICING/10 - 1D SLICING.mp4
116.7 MB
~Get Your Files Here !/9 - 2D ROW SLICING/11 - 2D ROW SLICING.mp4
