---
title: "Modeling the Oscar for Best Picture (and Some Insights About XGBoost)"
url: https://daily.dev/posts/modeling-the-oscar-for-best-picture-and-some-insights-about-xgboost--tdgcsoqel
source_url: https://www.r-bloggers.com/2024/03/modeling-the-oscar-for-best-picture-and-some-insights-about-xgboost/
type: article
source: "R-bloggers"
published: 2024-03-04T07:33:37.167Z
updated: 2024-05-09T09:28:05.588Z
tags: ["machine-learning", "data-science", "xgboost"]
reading_time: 7
upvotes: 0
comments: 0
language: en
---

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# Modeling the Oscar for Best Picture (and Some Insights About XGBoost)

**[R-bloggers](https://daily.dev/sources/rbloggers)** · 7 min read · 0 upvotes · 0 comments

## Summary

Machine-learning-based predictions for Best Picture at the Academy Awards are shared, along with insights about XGBoost and the challenges of sparse and missing data. The data was collected from industry awards, critical awards, and miscellaneous information.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.r-bloggers.com/2024/03/modeling-the-oscar-for-best-picture-and-some-insights-about-xgboost/>

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---

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

[View this post on daily.dev](https://daily.dev/posts/modeling-the-oscar-for-best-picture-and-some-insights-about-xgboost--tdgcsoqel)