Intro to Feature Engineering and Ensembling techniques

Feature engineering is the process of transforming raw data into features that better represent the underlying problem to the predictive models, resulting in improved model accuracy on unseen data. It is the soul when it comes to training the machine learning models and getting the highest precision and accuracy.Some of the common techniques.1. Handling “Na” values —Whenever we get any dataset there might be a possibility that it might contain some ‘na ’ value these create redundancy in our mode...

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