Numpy for Data Science - Part 4(Joining & Splitting)

Welcome to the fourth video in our comprehensive NumPy tutorial series! 🚀 In this video, we delve into the techniques of joining and splitting NumPy arrays. These operations are vital for effective data manipulation and preparation in various data science and machine learning tasks.
What you will learn:
How to join arrays using functions like np.concatenate, np.vstack, and np.hstack
Techniques for splitting arrays using np.split, np.vsplit, and np.hsplit
Practical examples to demonstrate joining and splitting
Use cases for combining and separating arrays in real-world scenarios
Tips for avoiding common errors
By the end of this video, you'll have a solid understanding of how to join and split arrays in NumPy, enhancing your ability to manipulate and analyze data efficiently. Stay tuned for more videos in this series where we explore more advanced functionalities of NumPy.
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Here is the code file used -
github.com/bipulshahi/Numpy/b...
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