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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. This explains why the insurance sector is acquiring an increasing amount of data.

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10 Real World Data Science Case Studies Projects with Example

ProjectPro

Analysis of Big data also helps them understand new item sales, make decisions on discontinuing products, and the performance of brands. Walmart runs a backend algorithm that estimates this based on the distance between the customer and the fulfillment center, inventory levels, and shipping methods available.

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Logistic Regression vs Linear Regression in Machine Learning

ProjectPro

Firstly, we introduce the two machine learning algorithms in detail and then move on to their practical applications to answer questions like when to use linear regression vs logistic regression. Machine Learning , as the name suggests, is about training a machine to learn hidden patterns in a dataset through mathematical algorithms.

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30+ Free Datasets for Your Data Science Projects in 2023

Knowledge Hut

The World Bank Open Data provides free and direct access to global development data such as governance indicators, food price inflation estimates by country, child mortality, women in education, access to electricity, climate change, extreme poverty, etc. Link to Dataset How are Data Science Datasets Created?

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What is Data Integrity?

Grouparoo

If undetected, corruption of data and its information will compromise the processes that utilize that data. Personal Data Collecting and managing data carries regulatory responsibilities regarding data protection and evidence required for regulatory compliance.

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Data Fabric: The Future of Data Architecture

Monte Carlo

Reduced reliance on IT Integral to a data fabric is a set of pre-built models and algorithms that expedite data processing. That means your data fabric should be constantly ingesting, analyzing, and leveraging metadata through graph models that present that metadata in an easily digestible, user-friendly way.

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Data Fabric: The Future of Data Architecture

Monte Carlo

Reduced reliance on IT Integral to a data fabric is a set of pre-built models and algorithms that expedite data processing. That means your data fabric should be constantly ingesting, analyzing, and leveraging metadata through graph models that present that metadata in an easily digestible, user-friendly way.