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Machine Learning Paradigms with Example

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Let’s have a simple overview of what Machine Learning is. The post Machine Learning Paradigms with Example appeared first on Analytics Vidhya. Source: [link] For […]. Source: [link] For […].

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Introduction to Linear Predictive Models – Part 2

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Welcome readers to Part 2 of the Linear predictive model series. The post Introduction to Linear Predictive Models – Part 2 appeared first on Analytics Vidhya.

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How to create a Stroke Prediction Model?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon INTRODUCTION: Stroke is a medical condition that can lead to the. The post How to create a Stroke Prediction Model? appeared first on Analytics Vidhya.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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Improve your Predictive Model’s Score using a Stacking Regressor

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The general principle of ensembling is to combine the predictions of various. The post Improve your Predictive Model’s Score using a Stacking Regressor appeared first on Analytics Vidhya.

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What is a Data Pipeline?

Jet Global

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. For example, migrating customer data from an on-premises database to a cloud-based CRM system. What is an ETL pipeline?

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Leveraging user-generated social media content with text-mining examples

IBM Big Data Hub

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. For instance, a parsing model could identify the subject, verb and object of a complete sentence. And with advanced software like IBM Watson Assistant , social media data is more powerful than ever.