Udemy - Machine Learning From Scratch - Numpy Library From Scratch

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[ DevCourseWeb.com ] Udemy - Machine Learning From Scratch - Numpy Library From Scratch
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction
    • 1 - INTODUCTION TO NUMPY Introduce PYTHON Numpy library to students.mp4 (90.4 MB)
    10 - STACK
    • 12 - STACK.mp4 (42.9 MB)
    2 - JUPYTER NOTEBOOK
    • 2 - Learn why Jupyter Notebook is the best App for learning Python programming.mp4 (94.0 MB)
    3 - PYTHON LISTS
    • 3 - PYTHON LIST.mp4 (49.1 MB)
    4 - Numpy Arrays
    • 4 - 1 Dimensional array.mp4 (128.8 MB)
    • 5 - LINSPACE.mp4 (74.6 MB)
    • 6 - ARANGE.mp4 (53.8 MB)
    5 - MULTIDIMENSIONAL ARRAYS
    • 7 - MULTIDIMENSIONAL ARRAYS.mp4 (54.6 MB)
    6 - Numpy SHAPE function
    • 8 - Numpy shape function.mp4 (113.1 MB)
    7 - Numpy Reshape function
    • 9 - Numpy Reshape Function.mp4 (58.1 MB)
    8 - 1D SLICING
    • 10 - 1D SLICING.mp4 (116.7 MB)
    9 - 2D ROW SLICING
    • 11 - 2D ROW SLICING.mp4 (223.3 MB)
    • Bonus Resources.txt (0.4 KB)

Description

Machine Learning From Scratch: Numpy Library From Scratch

https://DevCourseWeb.com

Published 2/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.07 GB | Duration: 2h 35m

Python list,Numpy arrays,Multidimensional arrays(ndarray),numpy linspace,numpy arange,numpy shape,numpy slicing

What you'll learn
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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Udemy - Machine Learning From Scratch - Numpy Library From Scratch

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1.1 GB
seeders:11
leechers:16
Udemy - Machine Learning From Scratch - Numpy Library From Scratch

Torrent hash: D9060A253E6C197993B17FE2833A8079DB9F452D