NumPy Tutorial Part 2: Reshaping, Statistics & Masking in Hindi 🚀

Doston, NumPy Tutorial Part 2 mein aapka swagat hai! Is video mein hum NumPy ke advanced concepts ko detail mein samjhenge jo Machine Learning aur Data Science ke liye bohot zaroori hain.

Humne pichle video mein basics cover kiye the, aaj hum depth mein jayenge:

✅ Topics Covered in this Video:

NumPy Reshaping (Reshape, Flatten, Ravel)
Transpose of a Matrix
NumPy Statistics (Sum, Mean, Min, Max, STD, Var)
Boolean Masking & Filtering Data
Stacking (VStack, HStack) & Splitting
Linear Algebra (Dot Product & Matrix Multiplication)
Random Module & Mathematical Functions
File Handling (Save & Load NumPy Arrays)
📌 Timestamps (Important Chapters): 00:00 - Introduction & Recap 02:20 - NumPy Reshaping (Reshape, Flatten & Ravel) 08:13 - Transpose of Matrix (Row to Column) 10:25 - NumPy Statistics (Sum, Mean, Max, Min, STD) 14:20 - Boolean Masking & Filtering Conditions 18:34 - Stacking (Vstack, Hstack) & Concatenate 28:09 - Splitting NumPy Arrays 30:21 - Random Module & Distribution functions 35:08 - Mathematical Functions (Sqrt, Log, Exp, Power) 40:30 - Linear Algebra & Matrix Multiplication 56:00 - Determinant & Inverse of Matrix 01:05:55 - File Handling in NumPy (Save & Load)

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Видео NumPy Tutorial Part 2: Reshaping, Statistics & Masking in Hindi 🚀 канала DeepuAILab