To simplify the overall process of data cleaning and make it a bit more interesting, python introduces a package called PyJanitor.
As a data scientist, you are more or less going to spend 60-70% of your time cleaning and preparing your data. The process of cleaning, encoding and transforming your raw data in order to bring them into a format that the machine learning model can understand is called Data Pre-processing. This process is often long and cumbersome and most developers consider it to be the least favourite part of a project. Despite being tedious, it is one of the most important techniques that need to be implemented. To simplify the overall process and make it a bit more interesting, python introduces a package called PyJanitor- A Python Tool for Data Cleaning.
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Data science is omnipresent to advanced statistical and machine learning methods. For whatever length of time that there is data to analyse, the need to investigate is obvious.