Feb 17 · 7 min read · Decision Tree & Random Forest Classification Employee attrition is one of the most expensive silent risks in any organization. Replacing talent costs money, time, productivity, and morale. In this project, I built a complete machine learning pipeline...
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Feb 13 · 15 min read · Week 18 of Dataraflow emphasized the importance of interpretability in machine learning, focusing on Decision Trees and Random Forests. Unlike "black box" algorithms, Decision Trees offer clear, human-like decision paths, making them invaluable for b...
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Feb 3 · 6 min read · Decision Trees: The Logic of "If-This-Then-That" In our previous post on Logistic Regression, we explored how models use mathematical equations and "weights" to make predictions. But human beings don't usually think in complex equations. We think in ...
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Feb 3 · 1 min read · Most financial mistakes don’t feel like mistakes when they happen. They’re usually small decisions — delayed planning, ignored reviews, emotional reactions — that seem harmless in the moment but compound over time. Some patterns I see repeatedly: Pe...
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Nov 3, 2025 · 2 min read · Q: What was the main goal of this project? A: The main goal was to analyze a car fuel efficiency dataset and build regression models to predict fuel efficiency. Q: What dataset was used for this analysis? A: We used the car fuel efficiency dataset av...
Join discussionNov 3, 2025 · 7 min read · Project Goal This project aims to analyze a car fuel efficiency dataset and build regression models to predict fuel efficiency. We will explore different tree-based models, including Decision Tree, Random Forest, and XGBoost, and evaluate their perfo...
Join discussionOct 7, 2025 · 2 min read · 📖 Decision Trees are among the most intuitive AI models — they mimic human decision-making by splitting data into branches and outcomes, helping both beginners and experts understand how predictions are made. 1️⃣ The Foundations A tree-structured ...
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Sep 7, 2025 · 2 min read · Hey everyone 👋 Dhairya here, Today was a huge milestone in my journey — I built my first real machine learning models using Scikit-Learn! Until now, my focus was mostly on math, probability, and preprocessing data. Today, I finally got to see theory...
Join discussionJul 14, 2025 · 6 min read · Most machine learning models feel like guesswork in disguise. They look at enough data, do some math, and start making predictions. But if you ask why a model made a decision, you’re often met with silence. Decision Trees are different. They don’t gu...
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Jul 7, 2025 · 3 min read · “A Decision Tree is not just a model — it’s a flowchart of logic and learning.” — Tilak Savani 🧠 Introduction Decision Trees are one of the most intuitive and explainable machine learning algorithms. They mimic human decision-making and are used ...
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