---
title: "Discussion on \"GSOC'23 Week 6&7: GAM Regression Part 1\" | Hashnode"
description: "Discussion on \"GSOC'23 Week 6&7: GAM Regression Part 1\". why GAMs ?\nA Linear Model is Represented as :\n$$Y=Xβ+ε$$where Y is the Response Variable, X is the predictor data, Beta is the regression Coefficient, and epsilon is the error term. Linear models are known to be all-in-one models when it comes to dat..."
url: "https://hashnode.com/posts/gsoc23-week-67-gam-regression-part-1/64e9fc2686052a2ea5505f88"
---

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# [GSOC'23 Week 6&7: GAM Regression Part 1](https://azm999.hashnode.dev/gsoc23-week-67-gam-regression-part-1?utm_source=hashnode&utm_medium=feed)

why GAMs ? A Linear Model is Represented as : $$Y=Xβ+ε$$where Y is the Response Variable, X is the predictor data, Beta is the regression Coefficient, and epsilon is the error term. Linear models are known to be all-in-one models when it comes to dat...

Jul 24, 2023 · 4 min read · azm999.hashnode.dev  
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[Azmat Khan](https://hashnode.com/@azm999)

@azm999 · india

  
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Open source enthusiast, Problem solver

GSoC'23 @ GNU Octave. Open-source software advocate

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