Kaggle的《泰坦尼克号:灾难机器学习》竞赛教程。演示基本的数据整理、分析和可视化技术。展示了监督机器学习技术的示例。
kaggle-titanic 开源项目推荐(314 个)
kaggle-titanic 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 314 个仓库泰坦尼克号卡格尔竞赛的解决方案
卡格尔泰坦尼克号示例
Titanic assignment on Kaggle competition
All my Kaggle Notebooks that I've published
The concepts of DS and ML, written by me ;)
Training models with Apache Spark, PySpark for Titanic Kaggle competition
Detailed notes and code to learn machine learning with Apache Spark.
🌱 Playing in Kaggle Playground
Analyse the Titanic Data Set from Kaggle and predict a classification- survival or deceased
Important books, cheat sheet, notebooks for machine learning.
https://towardsdatascience.com/a-beginners-guide-to-kaggle-s-titanic-problem-3193cb56f6ca
Kaggle portfolio: competition solutions with full write-ups, Kaggle Learn certificates and earned badges. Each folder records the approach taken, the constraint that shaped it, and where it ran out. Notebooks Expert. Active, with competitions added as they are entered.
The most famous competition over the kaggle .
This Repository Contains all my Machine Learning Projects that I have mad for, Competitions that I have Participated or tried for Practice.
该项目在 GitHub 上没有填写描述
Competitions, Datasets, Notebooks
Trying out things on Kaggle's Titanic dataset
Spaceship Titanic Kaggle Challenge - Includes detailed EDA and statistical analysis, NaN-Imputation and Modeling. (> 80% accuracy, top 6% on 09.08.22)
Kaggle Problem
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/kaggle-titanic。
- 该话题在 GitHub 上共有 314 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1338 Star,覆盖 2 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。