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This project exposes to one of the well-known supervised machine learning model families most commonly known as Classification.
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Difficulty: AdvancedDesigned for those with a technical background or industry experience
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Duration: Approximately 3 hours
Course Overview
- Classification algorithms are used to categorize data into a class or category.
- Insurance firms incur enormous financial losses as a result of fraudulent vehicle insurance claims. According to reports, claims padding—the practice of adding damage, injuries, fictitious passengers, and other such things—represents 90% of insurance frauds. By staging fake accidents the remaining 10% are claimed. Therefore, it is crucial for insurance firms to spot such false claims.
- By building a fraud detection algorithm insurance companies would automatically be flagged about auto insurance fraud claims and will be able to handle them.
- Learn how classification algorithms can be used for flagging a claim as legitimate or fraudulent.
What’s included
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Skills you will learn
Associated Learning Tracks
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Learn new skills that will boost your career by enrolling in courses across data analytics, data science, ML and AI. These courses will utilize readings, videos, quizzes, data cases, and even coding exercises to teach you skills and concepts in a way that will solidify your new knowledge for hands-on application.
With our hands-on projects, you will take your newly learned skills along with our 750+ low-code/no-code functions and embedded coding console to complete milestone-based projects. Once completed, you will have effectively applied new skills and concepts to real-world data cases that can be translated directly into your career.
Complete assessments and track your progress in real-time to benchmark your proficiency in relation to key functional areas. As you progress through your courses, our patented platform will utilize ML and AI to record and analyze your inputs and output to provide active feedback and recommendations that will help you learn more effectively than the standard Letter Grade system used today.
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