Body Fat Prediction
About this project
This project is aimed at predicting the body fat of a person using Linear Regression model. Over 10 features are present in this dataset, however, some of them have little to no Pearson correlation to the our target column. In order to reduce the curse of dimensionality and make our data easily trainable, Feature Selection methods (Filtering) have been employed including checking the Variance Inflation Factor (VIF) of the features. After preprocessing, a Regression model was built and in the end the normalized root mean squared error was shrunk to 0.01.
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