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7 Data Science Applications in Finance For Maximizing ROI

ProjectPro

From identifying fraudulent transactions to predicting market crashes, data science applications in the finance industry are endless. Imagine predicting market crashes or identifying fraudulent transactions before they occur. All this is possible now, thanks to the versatile data science applications in the finance industry.

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Feature Selection Methods in Machine Learning

ProjectPro

Feature selection techniques are fundamental to predictive modeling tasks; one can not create predictive models without selecting the features correctly. What are these feature selection methods, and how are they used in building efficient predictive models? Why use Feature Selection Techniques? Let us find out.

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10 Unique Business Intelligence Projects with Source Code 2023

ProjectPro

And we do want our curious readers to feel warm in their blankets and conserve their energy when searching for projects on business intelligence. Read this blog if you are interested in exploring business intelligence projects examples that highlight different strategies for increasing business growth. Chilly December is here!

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A Quick Guide to Machine Learning for Beginners

U-Next

According to the Bureau of Labor Statistics , computer and information research jobs, including Data Scientist positions, are projected to grow 22% between 2020 and 2030. . For example, suppose you are a bank manager, and you wish to figure out whether or not a loan applicant is likely to default on their loan by the end of the year.

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What is Business Statistics? Meaning & Importance

Edureka

It will help business people greatly if they can correctly predict what will happen in the future. One way to predict the future is by analysing the company’s data. Business statistics is a technique that helps experts apply statistical principles in business to predict various events. What Is Business Statistics?

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The Ultimate Machine Learning Engineer Career Path for 2023

ProjectPro

These include the skills needed for a machine learning career, a few machine learning projects for practice to develop those skills, and a clear grasp of the different types of machine learning careers available. Get Closer To Your Dream of Becoming a Data Scientist with 150+ Solved End-to-End ML Projects 2.

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Data Mining vs Machine Learning. Here’s the Difference

ProjectPro

To ensure this, it is important to understand the exact meaning of the terminologies before we use them. Machine learning applications are used across industries to predict the behavior of customers, recommend new products to users, identify potential risks, identify loan defaulters, and many other business use cases.