Shapash- Python Library To Make Machine Learning Interpretable

The above quote is quite interesting and yes, they speak the truth most of us are from the technical field so we probably know about what machine learning is? it is the current worldwide digital technology ruled over the world. If you are familiar with machine learning then you come across the words data, train, test, accuracy, and many more, and many of you are capable of writing machine learning scripts if you notice that we didn't see the background calculations of the machine learning models because machine learning is not interpretable. Many people say that the machine learning models are the black box models, suppose if we give input there are a lot of calculations are happening inside and we got the output, that particular calculation based on what feature we are actually giving. Suppose we give the input of 5 features inside this, it may be a situation where some of the feature value may be increasing and some of them are decreasing, so we not able to see this, but python has a beautiful library which makes a machine learning model interpretable by this we can able to understand that underground calculations. This beautiful library is developed by a group of MAIF Data Scientists.