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

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:

Course Playlists-
Machine Learning Beginner to Professional Hands-on Python Course in Hindi:

Python NumPy Tutorial in Hindi:

Python Pandas Tutorial in Hindi

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[satishb]

Thank you for making and explaining. in a easy and simple way ❤👍

[sanjeev]

You get understand us in the good way.because you speak in Hindi

[arnabroy]

This man did an extraordinary job by teaching all these libraries of python that we need in machine learning

Thank you mate❤️❤️👍🏻👍🏻

[dhiraj_khansole]

thank you sir for providing this valuable tutorial's in free of cost,

[muhammadazeem]

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

[JACKSPARROW-chjl]

Your all videos are very much usefull thanxxx fpr teaching in hindi

[NaveenkumarYadav-sgyh]

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.

[sanjivranjan]

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

[NaveenkumarYadav-sgyh]

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.

[shubhamsrivastava]

If you could make a video on Data Mining, Data Cleansing, Clustering do from scratch to advance level....
One more make a detail video of python library like PANDAS, MATPLOTLIB,
Because the way you taught seedhe dimaag me jaata h

[sanjivranjan]

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.

[jaysoni]

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


can you give some other example?

[sanjivranjan]

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.

[saurabhbarasiya]

only this video contain practical video link

[MrMukulpandey]

numpy has already a random module of its own then why importing random module and even you have not used it.