The Data Science Process (Simplified):
Collect – Get raw data from various sources (files, web, databases, sensors, etc.)
Clean – Fix or remove incorrect, incomplete, or duplicated data
Explore – Analyze data using statistics and visualizations
Model – Use machine learning or statistical models to find patterns or make predictions
Interpret – Translate the results into actionable insights
Communicate – Create visualizations or reports to share findings with others
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