#decisiontree

SSSanjana Shyamsundarblogs.codechefvit.com

Capital One’s 200ms Random Forest: Stopping Launderers Before the Wire Hits

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

6d ago7 min read

AZAyomide Zaccheauspapizee.hashnode.dev

Week 18: My Model Got 100% Again — And This Time I Didn't Celebrate

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...

Feb 1715 min read

OMOnwupelu Miraclemy-soft-launch-into-tech-blogging.hashnode.dev

🚗 From Guesswork to Goldmine: How Machine Learning Predicts Car Prices With 93.5% Accuracy

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...

Feb 84 min read

FDFundacja Dobre Państwofundacjadobrepasntwo.hashnode.dev

Microeconomics in the Age of Algorithms: Risk, Time, and Fairness

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...

Feb 61 min read

MKM Krunaldectree.hashnode.dev

🌳 Decision Tree Concept

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...

Dec 28, 20256 min read

MFMuhammad Fahad Bashirml-diaries-by-fahd.hashnode.dev

Decision Tree Algorithm Explained: Simple Guide with Example and Gradio App

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...

Oct 2, 20255 min read

HJHimanshu Jhahimanshu-jha.hashnode.dev

Turn AI Into Action: Serve Your Machine Learning Model with a REST API

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...

Aug 23, 202510 min read

AJAditya Jaiswalbagging-classifier.hashnode.dev

Bagging Classifier

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...

Aug 10, 20253 min read

SKSaanvi Kumarsaanvikumar.hashnode.dev

The Sherlock of Machine Learning

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...

Jul 14, 20256 min read

GAgarv aggarwalcleanpush.hashnode.dev

Decision Trees

A Decision Tree is a supervised machine learning algorithm used for classification and regression tasks. It works like a flowchart to make decisions based on input features by splitting data into subsets based on feature values. Terminologies : Roo...

Jun 22, 20253 min read

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#decisiontree

Capital One’s 200ms Random Forest: Stopping Launderers Before the Wire Hits

Week 18: My Model Got 100% Again — And This Time I Didn't Celebrate

🚗 From Guesswork to Goldmine: How Machine Learning Predicts Car Prices With 93.5% Accuracy