Top NumPy Operations You Must Know: From Transpose to Log

Learn the most essential NumPy functions every data science and Python beginner must know! In this video, we cover powerful NumPy operations including:

* `transpose()` – to reshape arrays
* `tile()` and `repeat()` – for repeating patterns
* `argmax()` and `argmin()` – to find index of max/min values
* `abs()`, `sqrt()`, `exp()`, and `log()` – for mathematical computations

Each function is explained with simple code examples so you can apply them confidently in your data analysis and machine learning projects.

✅ Perfect for Python and NumPy beginners
🔍 Ideal for Data Science, Machine Learning, and Coding Interviews
📚 With clear code walkthroughs and real examples!

Видео Top NumPy Operations You Must Know: From Transpose to Log канала CODIEPAG