Pandas for Data Science: A Step-by-Step Guide
Pandas is an open-source Python library widely used for data pre-processing. This library offers numerous predefined functions for managing raw data efficiently we will discuss about it in detail using the best example. First of all, we need a dataset we can create by our own using Excel or SQL or download from various sources like Kaggle,aws, or other websites https://www.kaggle.com/datasets/saadharoon27/diwali-sales-dataset Diwali Data Set When you receive data, it often comes in raw and isn’t directly usable for machine learning models. This is where data processing comes in. Pandas is a Python library specifically designed for data analysis, organization, and cleaning. It helps in structuring and preparing the data so that it can be effectively utilized in machine learning models. With Pandas, you can easily handle data manipulation tasks such as sorting, filtering, and cleaning, making it a crucial tool for preprocessing raw data into a format suitable for machine learning a...