Pandas is not part of the Python standard library. It’s a third-party project, so you’ll need to install it in your Python runtime with pip install pandas . Once installed, you can import it ...

Pandas is a powerful and versatile library that simplifies tasks of data manipulation in Python. It is built on the top of the NumPy library which means that a lot of structures of NumPy are used or ...

Python's simplicity and readability, combined with its extensive libraries, make it an ideal language for data analysis.Among these libraries, Pandas, NumPy, and Matplotlib stand out due to their ...

Pandas is a Python library used for working with data sets. It has functions for analyzing, cleaning, exploring, and manipulating data. Pandas allows us to analyze big data and make conclusions based ...

Importing Data: The first step in any data analysis is the importation of data. How to read data stored in CSV files into a DataFrame is done through the `read_csv()` function of the Pandas library.

To achieve this, we will use the Scikit-learn library, a free software machine learning library for Python, with two main algorithms: TF-IDF : Term frequency-inverse document frequency.