---
title: "Discussion on \"Cross-Validation, Pipelines & Hyperparameter Tuning with Scikit-learn\" | Hashnode"
description: "Discussion on \"Cross-Validation, Pipelines & Hyperparameter Tuning with Scikit-learn\". When building a machine learning model, it's tempting to train it on your data, check the score, and call it done. But that score is misleading — the model has already \"seen\" the data it's being evalu"
url: "https://hashnode.com/posts/cross-validation-pipelines-hyperparameter-tuning-with-scikit-learn/69df6997e41a62132cb65c2d"
---

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# [Cross-Validation, Pipelines & Hyperparameter Tuning with Scikit-learn](https://databeginnersfriendlytutorials.hashnode.dev/cross-validation-pipelines-hyperparameter-tuning-with-scikit-learn?utm_source=hashnode&utm_medium=feed)

When building a machine learning model, it's tempting to train it on your data, check the score, and call it done. But that score is misleading — the model has already "seen" the data it's being evalu

Apr 15 · 26 min read · databeginnersfriendlytutorials.hashnode.dev  
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-   [#machine-learning](https://hashnode.com/tag/machine-learning)
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-   [#cross-validation](https://hashnode.com/tag/cross-validation)
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-   [#regularization](https://hashnode.com/tag/regularization)
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-   [#gridsearchcv](https://hashnode.com/tag/gridsearchcv)

## Written by

[Henry Ha](https://hashnode.com/@henryha)

@henryha · Leeds, UK

  
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make life simplier

Data Scientist, write about: Tech &amp; Business &amp; Lifeskills

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