Dummy Variables with pandas in Python Template
When preparing data for a machine learning algorithm, very often we see variables that do not bear numerical values The Dummy Variables with pandas in Python template demonstrates how to map categorical data onto numerical values using the pandas library. Some other related topics you might be interested in are Mapping Categorical to Numerical Data with pandas in Python, Removing Missing Values with pandas in Python, Removing Outliers with pandas in Python. You can now download the Python template for free. The Dummy Variables with pandas in Python template is among the topics covered in detail in the 365 Data Science program.
Hristina HristovaCourse Author Linkedin profile
Who is it for
This is an open-access Python template that is going to be very useful for Data Analysts, Data Scientists, Machine Learning Engineers and anyone who wants to learn how to convert categorical data to numerical data using the pandas library.
How it can help you
More often than not, datasets include features that are not numerical but rather categorical - such are, for example, gender, occupation, country, etc. Unfortunately, algorithms need to be fed with numbers. This template can be used whenever we are faced with such a problem.
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