In this video, I show three different and simple ways in which you can cache a function in python. Caching is one of the very important things when you are working in data science and machine learning. When there are a lot of requests to a function, you don't want to run and process all the data for each an every request. Instead, sometimes you just want to cache :)
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BERT Sentiment model link: https://github.com/abhishekkrthakur/bert-sentiment/
Kernel Link: https://www.kaggle.com/abhishek/3-different-ways-to-cache-a-function-in-python
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