The Higher Living seeks to enhance its understanding of how various exercises and activities impact mental and physical health across different demographics. The goal of this project is to analyze existing datasets related to health, mental health, and relationships to develop a predictive algorithm. This algorithm will identify which activities yield the most significant improvements in well-being for specific demographic groups. By leveraging classroom knowledge in data analysis and algorithm development, learners will work to uncover patterns and insights that can guide personalized wellness recommendations. The project will involve tasks such as data cleaning, exploratory data analysis, and algorithm development, ensuring a comprehensive approach to understanding wellness impacts.

The project will culminate in a comprehensive report detailing the findings of the data analysis, including visualizations and insights into the most effective activities for different demographics. Additionally, learners will deliver a functional algorithm capable of predicting wellness improvements based on demographic data. A presentation summarizing the methodology, findings, and potential applications of the algorithm will also be required.

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