Data Cleaning using Python | Regular Expression in Python | Value Error | RegEx | IvyProSchool
In this video we will learn to treat the Value error in a column of a DataFrame in Python. By taking business logic into consideration, we will be removing any string from an integer value using Regular Expression or "RegEx", "For loop" and then saving it in a list. Finally we will replace the error values with the correct values, to make the data ready for further analysis.
Data set - https://drive.google.com/file/d/146Xd...
00:00- Introduction
00:35- Importing datasets and libraries in Python
02:51- Value Error in Python
03:27- Data Cleaning using RegEx in Python
08:02- Conclusion
#pythontutorial #dataframes #regularexpressions #regex
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