/End-to-End_ML_Project_with_Causal_Analysis_Auto-MPG

This project showcases an End-to-End ML Project on the Auto MPG dataset, where the main objective is to predict miles per gallon (MPG) of a car, based on its given attributes. This prediction would greatly help the designer engineers to understand what would be the expected MPG of their designed car and help them make suitable changes to deliver a better product. This analysis would result in a number of important features which would be correlated to the target variable i.e. MPG Since, "Correlation does not always imply causation", a Causal Analysis would be done to determine which features have significant positive/negative causation on MPG value.

Primary LanguageJupyter Notebook

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