---
title: "Machine Learning Algorithms(13) — Ensemble techniques (Boosting — Xgboost Regression)"
url: https://daily.dev/posts/machine-learning-algorithms-13-ensemble-techniques-boosting-xgboost-regression--pkhqgbz9y
source_url: https://towardsdev.com/machine-learning-algorithms-13-ensemble-techniques-boosting-xgboost-regression-c8225311ab6d?source=rss----a648dc4ecb66---4
type: article
source: "Towards Dev"
published: 2023-12-14T17:21:58.659Z
updated: 2023-12-14T17:21:57.227Z
tags: ["machine-learning", "xgboost"]
reading_time: 5
upvotes: 3
comments: 0
language: en
---

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# Machine Learning Algorithms(13) — Ensemble techniques (Boosting — Xgboost Regression)

**[Towards Dev](https://daily.dev/sources/towardsdev)** · 5 min read · 3 upvotes · 0 comments

## Summary

This article explores XGBoost Regression and provides insights into the creation process of decision trees. It discusses the concept of the base model, calculation of similarity weight, and the purpose of post pruning in XGBoost Regression.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://towardsdev.com/machine-learning-algorithms-13-ensemble-techniques-boosting-xgboost-regression-c8225311ab6d?source=rss----a648dc4ecb66---4>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#xgboost](https://daily.dev/tags/xgboost)

[View this post on daily.dev](https://daily.dev/posts/machine-learning-algorithms-13-ensemble-techniques-boosting-xgboost-regression--pkhqgbz9y)