Learned about how to train a basic regression model using stratified data splitting, data visualization using pandas and matplotlib, and preprocessing data using tools such as simpleimputator or ordinal encoder/onehotencoder, and feature scaling(normalization, standardization, etc.)
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- hands-on-machine-learning-with-scikit-learn-keras-and-tensorflow-aurelien-geron
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