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By Pranati

Quality and Health/Lifestyle Data

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Analysed a dataset containing health, lifestyle, and sleep quality factors to identify key sleep quality variables.
Performed data cleaning, exploratory analysis, and feature engineering to prepare the dataset for modelling.
Used statistical techniques and machine learning algorithms to predict sleep quality with up to 94% accuracy, providing data-driven insights for workplace health initiatives.

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