In this video you will understand how to do one hot encoding for machine learning, deep learning in a data preparation phase using Python libraries like Pandas and Scikit learn.
You will get to know about what is one hot encoding, when you need it, why you need it, how to interpret the underlying logic for applying the one hot encoding in your model building, what is dummy variable trap and how to address that issue etc.
This video is for everyone who is interested in data science and how to make use of data to take much more better predictive decisions.
You will fund the Google Collab Notebook here: https://colab.research.google.com/dri...
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