Pa1 session 6
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This document discusses connecting a mood classification AI to Python. It covers converting a Pandas dataframe to a dictionary, using the Requests module to send HTTP requests to an AI, and integrating a mood classification AI with Python code by copying the code from the AI interface. The document concludes with an exercise to convert dataset rows to dictionaries, trigger the AI service, calculate accuracy and a confusion matrix.
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This document discusses connecting Python to AI models using HTTP requests. It covers converting Pandas dataframes to dictionaries, retrieving rows from datasets, and using the Requests module to send payload data to APIs. Examples demonstrate accessing a mood classification AI by copying code from its integration page to make predictions on sentences and calculate accuracy on a dataset.
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Youtube Link: https://youtu.be/woVJ4N5nl_s
** Python Certification Training: https://www.edureka.co/data-science-python-certification-course **
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Castbox: https://castbox.fm/networks/505?country=in
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