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 <strong>missing </strong>or <strong>duplicate</strong> <strong>data</strong>, <strong>scaling features</strong>, <strong>encoding categorical data</strong>, <strong>reducing dimensionality</strong>, and <strong>splitting data </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>