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

📝 Free Notes → https://educosys.com/course/free-ai-c... If this helped you, subscribing means a lot →    / @keertipurswani   🎓 𝐂𝐡𝐞𝐜𝐤𝐨𝐮𝐭 𝐄𝐝𝐮𝐜𝐨𝐬𝐲𝐬 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 → https://www.educosys.com 📩 For Educosys queries, contact us at +91 9084249327 or [email protected] 📸 Educosys Instagram →   / educosys   💼 Educosys LinkedIn →   / 98837223   Connect with me - 💼 LinkedIn →   / keertipurswani   📸 Instagram →   / keerti.purswani   #softwaredevelopment #softwareengineer #machinelearningengineer #artificialintelligenceandmachinelearning 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