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The MLifeBalance project aims to address the pressing need for achieving a harmonious balance between work obligations and personal life in today's fast-paced world. The project's objectives include exploring various aspects of work-life balance, analyzing influential factors, and ultimately optimizing this balance to enhance the lives of individuals and the performance of organizations.
By uncovering patterns, trends, and correlations within the data, the project strives to contribute valuable insights to the ongoing discourse on work-life harmony.
The project uses Pandas + Pyspark ML + Pyspark SQL for analysis and model-building and Matplotlib for lucid data visualization.