--- title: How to Predict %80 Accuracy in the Titanic Disaster... description: This post explains how to achieve over 80% accuracy in the Kaggle Titanic Disaster Competition by using data manipulation, feature engineering techniques, and... canonical: https://daily.dev/posts/how-to-predict-80-accuracy-in-the-titanic-disaster-competition-qpkmexpnm twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: How to Predict %80 Accuracy in the Titanic Disaster Competition | daily.dev og:description: This post explains how to achieve over 80% accuracy in the Kaggle Titanic Disaster Competition by using data manipulation, feature engineering techniques, and... og:url: https://daily.dev/posts/how-to-predict-80-accuracy-in-the-titanic-disaster-competition-qpkmexpnm og:image: https://api.daily.dev/og/posts/QpKmEXPNm.png og:image:alt: How to Predict %80 Accuracy in the Titanic Disaster Competition og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # How to Predict %80 Accuracy in the Titanic Disaster Competition **[Python in Plain English](https://daily.dev/sources/inPlainEngHQ)** · 13 min read · 0 upvotes · 0 comments ## Summary This post explains how to achieve over 80% accuracy in the Kaggle Titanic Disaster Competition by using data manipulation, feature engineering techniques, and machine learning algorithms. It provides details on the problem, data analysis, missing value handling, feature engineering, and machine learning model implementation. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#data-science](https://daily.dev/tags/data-science), [#logistic-regression](https://daily.dev/tags/logistic-regression), [#random-forest](https://daily.dev/tags/random-forest), [#xgboost](https://daily.dev/tags/xgboost), [#feature-engineering](https://daily.dev/tags/feature-engineering) [View this post on daily.dev](https://daily.dev/posts/how-to-predict-80-accuracy-in-the-titanic-disaster-competition-qpkmexpnm) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"How to Predict %80 Accuracy in the Titanic Disaster Competition","url":"https://daily.dev/posts/how-to-predict-80-accuracy-in-the-titanic-disaster-competition-qpkmexpnm","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/how-to-predict-80-accuracy-in-the-titanic-disaster-competition-qpkmexpnm"},"datePublished":"2024-03-25T04:18:01.007Z","dateModified":"2024-05-09T09:06:08.895Z","description":"This post explains how to achieve over 80% accuracy in the Kaggle Titanic Disaster Competition by using data manipulation, feature engineering techniques, and...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/78139e892da1bace0e5382c0cf7f8142?_a=AQAEufR","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/78139e892da1bace0e5382c0cf7f8142?_a=AQAEufR","isAccessibleForFree":true,"articleSection":"Python in Plain English","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Python in Plain English","logo":"https://media.daily.dev/image/upload/s--Dg5QTRuI--/f_auto,q_auto/v1686665538/logos/pe","url":"https://daily.dev/sources/inPlainEngHQ"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/how-to-predict-80-accuracy-in-the-titanic-disaster-competition-qpkmexpnm","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"machine-learning,data-science,logistic-regression,random-forest,xgboost,feature-engineering","timeRequired":"PT13M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Python in Plain English","item":"https://daily.dev/sources/inPlainEngHQ"},{"@type":"ListItem","position":3,"name":"How to Predict %80 Accuracy in the Titanic Disaster Competition"}]} ```