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

If you appreciate the content and the hard work, Please 𝐬𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 -    / @keertipurswani  

𝐍𝐨𝐭𝐞𝐬 𝐚𝐫𝐞 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞 𝐡𝐞𝐫𝐞 𝐟𝐨𝐫 𝐅𝐫𝐞𝐞 - https://register.educosys.com/new-cou...

𝐂𝐡𝐞𝐜𝐤𝐨𝐮𝐭 𝐝𝐞𝐭𝐚𝐢𝐥𝐬 𝐚𝐧𝐝 𝐞𝐧𝐫𝐨𝐥𝐥 𝐟𝐨𝐫 𝐨𝐮𝐫 𝐋𝐈𝐕𝐄 𝐜𝐨𝐮𝐫𝐬𝐞𝐬 𝐡𝐞𝐫𝐞-
https://www.educosys.com

𝐄𝐝𝐮𝐜𝐨𝐬𝐲𝐬 𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦 -   / educosys  
𝐄𝐝𝐮𝐜𝐨𝐬𝐲𝐬 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧 -   / 98837223  

You can also connect with me on-
𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧 -   / keertipurswani  
𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦 (for personal, raw and real side of my life) -   / keerti.purswani  

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



#softwaredevelopment #softwareengineer #machinelearningengineer #artificialintelligenceandmachinelearning