4 Effective Ways to Prevent Overfitting and Why They Work

Building useful machine learning models

Abiodun Olaoye
Towards Data Science
4 min readOct 27, 2022

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Overfitting causes your model to miss its target, Photo by engin akyurt on Unsplash

Introduction

In this post, I will share four practical ways you can avoid overfitting when building machine learning (ML) models and why they are effective.

Overfitting is an undesirable condition that occurs when a model is fitted too close…

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Mechanical and computational engineer (PhD @ MIT), Data scientist | Renewable energy systems expert.