Tag: pandas

Data Cleaning With Python – Complete Guide

A Complete Guide to Data Cleaning With Python Data cleaning is the process of identifying and correcting errors, inconsistencies, and missing values in a dataset. It is an essential step in the data preprocessing process and is vital because dirty data can lead to incorrect conclusions or flawed analyses. Data cleaning involves several tasks, such […]

The Future is Here in 2022 & It is Definitely Data Science

The Future is Here & It is Data Science! If you look back 20 years from now, all you are gonna remember is the video games, basic PlayStations, the rise of black and white mobile phones, coloured television sets, and MP3 players. Did you ever realize that we’ve already left all that and already living […]

Why Pandas Library Has Replaced MS Excel For Data Analysis?

Gone were the days when people used to work with hundreds of Excel sheets to maintain the records and analyze the data. In the era of data, programming languages like Python already contain more than 1 lakhs of libraries. Pandas library is one such library that has been used nowadays for data analysis.

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