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# A Visual and Overly Simplified Guide to The AdaBoost Algorithm

**[Substack](https://daily.dev/sources/substack)** · 4 min read · 1 upvotes · 0 comments

## Summary

AdaBoost is a powerful machine learning model that uses an iterative training process and ensemble techniques to build a more powerful model. It works by training many weak learners, such as decision trees, to progressively learn from the mistakes of the previous model.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.blog.dailydoseofds.com/p/a-visual-and-overly-simplified-guide-676?utm_source=%2Fbrowse%2Ftechnology&utm_medium=reader2>

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Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#classification](https://daily.dev/tags/classification), [#scikit](https://daily.dev/tags/scikit), [#decision-tree](https://daily.dev/tags/decision-tree)

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