Decision Trees, Random Forests, and the Art of Knowing When Simple Is Enough
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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From Forests to Funnels: A Complete ML Workflow Across Regression, Classification, and Churn Prediction
Feb 24 · 13 min read · Week 16 of my data science internship at DataraFlow pushed everything to a new level. We moved beyond individual model building into end-to-end machine learning workflows; complete with multi-model co
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Week 18: My Model Got 100% Again — And This Time I Didn't Celebrate
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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From Anonymous Classes to Lambdas in Java 8
Feb 15 · 3 min read · If you want to master Java 8 features, lambda expressions are one of the key highlights. But before diving into lambdas, it’s important to understand functional interfaces, and to understand them, it helps to first know about anonymous classes. What ...
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Precision in Predestination: Architecting Automated Loan Classification
Feb 10 · 6 min read · 1. Introduction: In the contemporary financial landscape, the decision-making process for credit approval has shifted from subjective human assessment to high-fidelity algorithmic intelligence. Imagine a scenario where a borrower's financial future i...
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