The line of regression of Y on X is given by Y = a + bX where a and b are unknown constants known as intercept and slope of the equation. This is used to predict the unknown value of variable Y when value of variable X is known.
Read moreWho created PyCaret?
1 branch. Please give us ⭐️ on our GitHub repo if you like PyCaret. Bio: Moez Ali is a Data Scientist, and is Founder & Author of PyCaret.
Read moreWhy do we use PyCaret?
PyCaret is a high-level, low-code Python library that makes it easy to compare, train, evaluate, tune, and deploy machine learning models with only a few lines of code.
Read moreWhat is the use of PyCaret?
PyCaret is a high-level, low-code Python library that makes it easy to compare, train, evaluate, tune, and deploy machine learning models with only a few lines of code . At its core, PyCaret is basically just a large wrapper over many data science libraries such as Scikit-learn, Yellowbrick, SHAP, Optuna, and Spacy.
Read moreHow do you use PyCaret Shap?
So how can we use SHAP with PyCaret?
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