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Machine Learning in Insurance: Applications, Use Cases, and Projects

ProjectPro

With the introduction of advanced machine learning algorithms , underwriters are bringing in more data for better risk management and providing premium pricing targeted to the customer. Customer data is collected using machine learning algorithms to identify patterns and insights.

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Top Data Cleaning Techniques & Best Practices for 2024

Knowledge Hut

In the context of data science , clean data is crucial because the quality of your data directly impacts the reliability of your analysis and the outcomes of your algorithms. It's a foundational step in data preparation, setting the stage for meaningful and reliable insights and decision-making.