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It’s an exciting time for the data field, and data engineers play a big part in it. With preparing and managing the data infrastructure, data engineers bring tools necessary for data collection, storage, processing, and analysis. That’s why data engineers play a significant role in a data-driven company.…
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GitHub has long been the go-to platform for developers, including those in the data science community. It offers robust version control and collaboration features. However, data scientists often have unique requirements, such as handling large datasets, complex workflows, and specific collaboration needs that GitHub may not fully cater to. This…
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When you are getting started with machine learning, logistic regression is one of the first algorithms you’ll add to your toolbox. It's a simple and robust algorithm, commonly used for binary classification tasks.
Consider a binary classification problem with classes 0 and 1. Logistic regression fits a logistic or sigmoid function to the input…
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In today’s tech-savvy world, we're surrounded by mind-blowing AI-powered wonders: voice assistants answering our questions, smart cameras identifying faces, and self-driving cars navigating roads. They're like the superheroes of our digital age! However, making these technological wonders work smoothly on our everyday devices is tougher than it seems. These…