Mastering Data Preprocessing in Python Pandas (with code)`

<h1>1. Introduction</h1> <h2>Definition of data pre-processing</h2> <p>Data preprocessing is the process of preparing data for analysis by cleaning, transforming, and selecting relevant features. It involves identifying and handling&nbsp;<strong>missing&nbsp;</strong>or&nbsp;<strong>duplicate</strong>&nbsp;<strong>data</strong>,&nbsp;<strong>scaling features</strong>,&nbsp;<strong>encoding categorical data</strong>,&nbsp;<strong>reducing dimensionality</strong>, and&nbsp;<strong>splitting data&nbsp;</strong>into training and testing sets.</p> <p>Proper data preprocessing helps to ensure data accuracy and consistency and leads to more accurate and reliable results.</p> <p><a href="https://medium.com/gitconnected/the-importance-of-data-preprocessing-in-python-pandas-bfbc112ae28c"><strong>Read More</strong></a></p>
Tags: Pandas