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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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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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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.

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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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Top Data Science and Machine Learning Interview Questions 2022

U-Next

In addition to this, a Data Scientist has the opportunity to work in a variety of fields while using cutting-edge technology to solve challenges that apply to everyday life. item recommendation systems that suggest to users what they should buy, based on their search history also use Data Science. Explain the term Data Science? .

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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.