Complete Numpy Data Science Tutorial

Description: Complete Numpy Data Science Tutorial
Numpy is a foundational library for anyone pursuing data science, machine learning or data analytics career.
In this tutorial, we cover everything from scratch - installing numpy, understanding key definitions, learning syntax and solving examples.

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Timestamps:
00:01:16 Install Python, Jupyter Notebook & Numpy
00:06:16 Creating Arrays
00:15:21 Array Attributes
00:18:39 Initialization Methods
00:28:00 Indexing & Slicing
00:50:29 Reshaping & Flattening
00:54:30 Stacking & Splitting
00:59:26 Mathematical Operations on Array
01:02:07 Mathematical Operations on Multiple Arrays
01:06:41 Statistical Functions
01:08:20 Array Comparison
01:09:44 Broadcasting
01:12:36 Handling Null Values
01:14:43 Save & Load Arrays

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📌 Download Numpy Notes: https://www.rishabhnmishra.com/notes
or
link2: https://colab.research.google.com/drive/1yNZvxG1Y19joUFkJ3mv7O5l9kXLsgeoH#scrollTo=pziNldSOwtY-

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