NumPy Random | Python NumPy Tutorial in Hindi Part-9 | Machine Learning Tutorial #01.01.09




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Course name: “Machine Learning – Beginner to Professional Hands-on Python Course in Hindi”

In this python NumPy tutorial part-9, We explain NumPy random sampling functions in Hindi. List of some explained random sampling functions given below:
1. np.random.random()
2. np.random.randint()
3. np.random.seed()
4. np.random.rand()
5. np.random.randn()
6. np.random.choice()
7. np.random.permutation()

Practical Code link: https://www.indianaiproduction.com/numpy-random

Course Playlists-
Machine Learning Beginner to Professional Hands-on Python Course in Hindi:
https://www.youtube.com/playlist?list=PLfP3JxW-T70FKkXT9VEeRChKvF4EUInWj

Python NumPy Tutorial in Hindi:
https://www.youtube.com/playlist?list=PLfP3JxW-T70FKkXT9VEeRChKvF4EUInWj

Python Pandas Tutorial in Hindi
https://www.youtube.com/playlist?list=PLfP3JxW-T70Gf4iJXPb0Yw5_-tDRCD6LB

For more information:
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Comment List

  • Indian AI Production
    December 19, 2020

    Thank you Sir .. Hello from Pakistan.. umeed hn mujhn 3 to 4 month may ya videos both uper jany wali InshahAllah

  • Indian AI Production
    December 19, 2020

    Awesome explainations

  • Indian AI Production
    December 19, 2020

    You teaching style is very good…

  • Indian AI Production
    December 19, 2020

    Very effective tutorial, easy to learn and fast. But please make some video for some complex task which are use in ML so that experience person can tall about some good project when interview happen. Means we can understand how numpy is use in ML projects.

  • Indian AI Production
    December 19, 2020

    All tutorial is very good. Very help to improve Indian IT engg. Its a good setp to teach our engg in Hindi in effective way. Good work keep it up.

  • Indian AI Production
    December 19, 2020

    what is the use of np.ranom.permutation()

    can you give some other example?

  • Indian AI Production
    December 19, 2020

    Sir, I need one help, I am unable to understand this code.

    import numpy as np
    x = np.array([[ 0, 1, 2],[ 3, 4, 5],[ 6, 7, 8],[ 9, 10, 11]])
    rows = np.array([[0,0],[3,3]])
    cols = np.array([[0,2],[0,2]])
    y = x[rows,cols]

    print (y)

    Output :
    [[ 0 2]
    [ 9 11]]

    I just wanted to know from where this 0 2 and 9 11 is coming. Please explain.
    Thanks in advance.

  • Indian AI Production
    December 19, 2020

    Your way of presentation is perfect. I just love it.

  • Indian AI Production
    December 19, 2020

    np.sin(180) , It returns value of angle in radian not in degree. and by using np.pi/180 this function return the value of angle in degree.

  • Indian AI Production
    December 19, 2020

    only this video contain practical video link

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