起这个题目琢磨了挺长的时间,因为最近正值校招,关于Kaggle的这个问题又热烈的讨论起来,Kaggle一开始由个人爱好者发起到被Google收购成为全球最大的数据科学竞赛平台。很多人把它当成入门机器学习深度学的工具。那么Kaggle到底有什么价值,对于Kaggle的那些傲慢与偏见到底是怎样的呢?我们从更广义的角度看一下数据科学竞赛到底...
在分析分割前后的图片,我们发现有不错的分割也有过分割的案例,但是总体上来说好的分割多于坏的,同时也需要改进我们的分割方法。 分割后的前后结果: 单个对比: 整个对比 使用post process之后,整体成绩提高了0.04。 最终将mask转换为RLE编码参考于代码https://www.kaggle.com/rakhlin/fast-run-length-encoding-python...
之前发表了一篇关于 Kaggle 的专栏,旨在帮助对数据科学( Data Science )有兴趣的同学们更好的了解这个平台,最好能亲身参与进来,体会一下学校所学的东西和想要解决一个实际的问题所需要的能力的差距。 专栏发表至今收到了不少的关注和肯定,还有很多小伙伴私信相关的问题。因此,本次live我特邀了一位海外一线 Data Sc...
Kaggle-Data-Science:Kaggle内核Ab**ss 上传 JupyterNotebook Kaggle数据科学 Tous mes kernels des点赞(0) 踩踩(0) 反馈 所需:1 积分 电信网络下载 java面试八股文+周瑜基础面试合集 2024-12-24 20:18:29 积分:1 ant-design-pro-6-package-lock 2024-12-24 20:13:12 积分:1 ...
[kaggle入门] Titanic Data Science Solutions Titanic Data Science Solutions (https://www.kaggle.com/startupsci/titanic-data-science-solutions) 数据挖掘竞赛七个部分: Question or problem definition. Acquire training and testing data. Wrangle, prepare, cleanse the data....
Kaggle also offers micro-courses on topics like machine learning, Python, deep learning, and more. These take about 3-7 hours to complete. Users can also participate in competitions to solve real-world data science problems. These give users the opportunity to put their skills to the test and...
Many people recommended me Kaggle for learning, but I don't know how to start it - I clearly do not have enough experience to start solving any challenge. Is anyone here who learned Data Science on Kaggle? What do you suggest? What are the best things to learn? How to start?
1. Kaggle Community Kaggle is a premier data science community and platform that hosts machine learning competitions, datasets, and collaborative projects. It serves as a hub for data scientists, machine learning practitioners, and AI enthusiasts to collaborate, learn, and showcase their skills. Kagg...
While Kaggle might be the most well-known, go-to data science competition platform to test your skills at model building and performance, additional regional platforms are available around the world that offer even more opportunities to learn... and win.
复现kaggle比赛2019DataScienceBowl现阶段排名第一的公共内核 复现过程中会添加我自己的注释和理解以及去除了一些根本没有使用过的变量 版本号为Version 24 原链接https://www.kaggle.com/braquino/convert-to-regression 首先是import一堆lib 没什么好说的