Python has several ML libraries but major libraries that are used are the following:
- Numpy: NumPy is a python library used for working with arrays. It also has functions for working in domain of linear algebra, Fourier transform, and matrices. Usage:
pip install numpy
import numpy as np
- Scikit-Learn: Scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license. Usage:
pip install scikit-learn
from sklearn.model_selection import train_test.split
- Pandas: Provides key data structure like Dataframe. It also provide support for reading/writing data in different formats. Usage:
pip install pandas
import pandas as pd
- Matplotlib: Matplotlib is a comprehensive library for creating static, animated, and interactive visualisations in Python. Usage:
pip install matplotlib
import matplotlib.pyplot as plt
In the future posts, we’ll learn about how to use these libraries for performing basic tasks required in Data Sciences.
Happy Programming!