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Updated 4 years ago
5 Numpy Functions You Might Use In Data Science and Machine Learning
Numpy which stands for "Numerical Python" is a Python library mainly used for numerical operations on arrays. Arrays can be 2D, 3D, 4D and so on matrices. Numpy arrays are better than Lists because they faster and supports more array or matrix operations. Arrays, vectors, matrices and operations on them are a very important part of Data Science and Machine Learning.
Functions are:-
- numpy.linalg.inv
- numpy.log
- numpy.tanh
- numpy.unique
- numpy.transpose
!pip install jovian --upgrade -q
import jovian
jovian.commit(project='numpy-array-operations')
[jovian] Attempting to save notebook..
[jovian] Updating notebook "anmolshukla100/numpy-array-operations" on https://jovian.ml/
[jovian] Uploading notebook..
[jovian] Capturing environment..
[jovian] Committed successfully! https://jovian.ml/anmolshukla100/numpy-array-operations
Let's begin by importing Numpy and listing out the functions covered in this notebook.