NumPy in One Hour | Crash Course for Beginners | You need to know this for ML, AI Projects

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Timestamps-
0:00 - Coming Up
0:25 - Approach for learning
2:12 - Live Hands-On Educosys GenAI course
3:05 - Installing and Running example code
5:22 - Why do we need NumPy Arrays | Internals
10:40 - Vectorization
11:52 - Broadcasting
14:15 - Basics of Arrays | Access, Assign, Slicing
17:14 - Array Attributes | Dimension, Shape, Size
25:15 - Zeros Array Creation
26:55 - Ones Array Creation
27:20 - Empty Array Creation
29:19 - np.arange for range creation
30:41 - np.linspace for linearly spaced array creation
31:45 - Sorting Arrays
34:44 - Concatenate Arrays
36:25 - Reshaping Arrays
42:43 - np.newaxis, np.expand_dims for addition of new dimension
44:55 - Slicing
46:50 - Condition based Slicing
51:25 - Vertical and Horizontal Stacking of Arrays
52:23 - Horizontal Splitting of Arrays
53:53 - Views and Copies
56:48 - Addition, Subtraction, Multiplication, Division of Arrays
59:05 - Sum of elements in Array
1:01:24 - Min, Max, Prod, Mean, Std
1:03:14 - Random Number Generation
1:05:20 - Transposing Matrix
1:07:00 - Reverse or Flip Array
1:09:14 - flattern, ravel for Flattening Multidimensional Arrays
1:10:46 - Accessing doc for help
1:12:15 - Thank You

Видео NumPy in One Hour | Crash Course for Beginners | You need to know this for ML, AI Projects канала Keerti Purswani