Mar 2 · 16 min read · Week 18 of my data science internship at DataraFlow shifted the focus from distance-based and probabilistic classifiers to tree-based methods; a family of algorithms that don't just predict outcomes,
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Feb 22 · 7 min read · Imagine spotting a money launderer before the wire transaction even settles! Capital One’s ML model just turned a traditional 30 page rulebook into a 200 ms risk score that tells investigators which g
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Feb 17 · 15 min read · Last week, I got my first real taste of classification algorithms. I worked through K-Nearest Neighbours (KNN), Support Vector Machines (SVM), and Naive Bayes — three very different approaches to the same core problem: teaching a computer to sort thi...
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Feb 8 · 4 min read · The Problem: A $2,349 Mistake Ever bought a used car and wondered, “Did I pay too much?” You’re not alone. The average American overpays by $2,349 when buying a used car—that’s the exact error rate our baseline model started with. But by the end of t...
Join discussionFeb 6 · 1 min read · This article provides an in-depth analysis of contemporary microeconomics, which, under the influence of algorithmization, transforms classical rational choice models into precise mathematical structures. The author examines how tools such as decisio...
Join discussionDec 28, 2025 · 6 min read · Decision Trees are one of the most intuitive and human-like machine learning algorithms.They work exactly the way we make everyday decisions — by asking questions and following answers In this blog, we’ll understand Decision Trees with real-life exam...
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Oct 2, 2025 · 5 min read · In our supervised learning series, we’ve explored the basics of classification algorithms and covered the concept of logistic regression. Now, let’s move to another popular algorithm: Decision Trees. Decision Trees are widely used in machine learning...
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Aug 23, 2025 · 10 min read · In today’s world, everyone is talking about AI, from chatbots to self-driving cars; it seems like artificial intelligence is everywhere. Many people wonder how AI can make their everyday tasks easier, more efficient, or even smarter. But here’s the c...
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Aug 10, 2025 · 3 min read · What is a Bagging Classifier? Ensemble learning is a supervised machine learning technique that combine multiple models to make a reliable and accurate model. It’s main focus is to combine the strengths of multiple models and create a model that is r...
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