Python NumPy Module Full Crash Course for Machine Learning

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Python NumPy Module Full Crash Course for Machine Learning

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Chapters:
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0:00 - Introduction to NumPy in Python
🟥 Understanding, Creating and Working with Arrays
0:44 - 1D arrays
2:42 - Type Promotion
5:38 - 2D arrays
7:45 - 3D and n-dimensional arrays
12:12 - astype function
🟥 Reshaping the Arrays
13:45 - reshape
16:41 - reshape(-1,1) & reshape(1,-1)
🟥 Indexing and Slicing
20:46 - indexing and slicing
30:01 - Boolean Mask Indexing
🟥 IMPORTANT Functions to Build Arrays
35:42 - arange function
39:48 - linspace function
41:12 - ones and zeros function
43:25 - eye function
46:32 - empty function
🟥 Axis Meaning and How to Use it
48:41 - axis meaning
🟥 Some Useful Functions You NEED to Know
56:27 - min, max, argmin and argmax
58:48 - sort, argsort
01:01:50 - unique
🟥 Statistics
01:04:18 - mean and median
01:08:20 - standard deviation
🟥 Linear Algebra
01:14:11 - How to work with matrices in python (a lot of matrix-related functions are studied in this section)
🟥 View Vs Deep Copy
01:25:15 - view VS deep copy
🟥 Manipulating the Arrays
01:30:08 - ravel VS flatten
01:36:07 - insert
01:39:24 - delete
01:41:29 - concatenate
01:44:33 - append
🟥 Working with Polynomials
01:48:20 - poly1d
01:52:59 - polyfit
🟥 Norms and Distances
01:58:05 - L1 and L2 norm (+ Manhattan, Euclidean and Minkowski Distance)
02:04:39 - Frobenius norm
🟥 NumPy Random
02:06:34 - NumPy random module (a lot of functions are studied in this section)
02:17:09 - NumPy random seed

To my opinion this is a very good video tutorial for learning numpy module in Python for machine learning and data science.
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This video is criminally underrated. It was a great tutorial.

TheAlgorithmicJourney
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I have watched this video 5 times yet, it is amazing

LastDeterminer
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Too good..all the concepts of Introduction to NumPy are covered, very helpful, I've learnt a lot from this, thank you so much

madhushrutisharma
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very good tutorial!! many thanks!! be blessed!!

alainleclerc
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i amin process of becoming data scientist..hope this will help...

karthickrajaptb