Author name: Elijah Williams

Elijah is a data scientist with a strong background in statistics, machine learning, and data visualization. He holds a Master's degree in Data Science and has experience working with large datasets to uncover meaningful insights for businesses and organizations.

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A Guide to Multivariate Analysis for Data Scientists

Ready to dive into the deep end of the data pool? 🏊‍♂️ Buckle up, fam, because today, we’re getting into some serious data science juju—Multivariate Analysis! If you’re already dabbling in data science, you’ve undoubtedly realized that real-life isn’t just dealing with one or two variables. Life, and data about life, are both messy and

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An Introduction to Data Mining Techniques for Data Scientists

Alright, fellow digital explorers, let’s dig into something that’s equal parts nerdy and cool: data mining! Imagine sipping your iced coffee while your laptop does some crazy detective work, finding patterns and insights hidden in a massive pile of data. Yep, that’s data mining—your AI buddy’s favorite tool to predict, classify, and make decisions about

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Data Science for Social Good: Applications in Public Policy and Nonprofits

Alright, let’s kick it. Ever found yourself scrolling through Instagram for what feels like hours, suddenly realizing you’re deep down a rabbit hole of memes and chaotic TikToks, but you’re actually just a few inches away from changing the world? Yeah, that’s legit. Data Science and Social Good might sound like words that belong to

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How to Tackle Imbalanced Data in Machine Learning

Yo fam, what’s good? Machine learning is super lit these days, whether it’s powering your TikTok recommendations or helping artists whip up AI-generated beats. But hear this: machine learning isn’t always smooth sailing. Sometimes, it’s like trying to microwave a burrito that’s half-frozen and half-burned—yeah, it sounds super janky, right? That’s what’s up when you

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