双语原文链接:Tutorial on reading large datasets 大规模数据集 对数据科学家和Kaggler来说,数据永远不嫌多。 我敢肯定,你在解决某些问题时,一定报怨过没有足够的数据,但偶尔也会抱怨数据量太多难以处理。本文探讨的问题就是对超大规模数据集的处理。 在数据过多的情况下,最常见的解决方案是根据RAM采样适量数据,但...
想通过比赛晋级专家,要至少获得两个铜牌,也就是拿前10%的成绩,拿Datasets,Notebooks, Discussions的专家,因为更简单一些,要求就会高一些,它们的牌子主要是靠其他用户的点赞来获取的,点赞越多,越容易拿牌子,这也是kaggle的分享氛围非常好的原因之一,天池就没有这一套系统。
usage: kaggle datasets metadata [-h] [-p PATH] [dataset]optional arguments:-h, --help show this help message and exitdataset Dataset URL suffix in format <owner>/<dataset-name> (use "kaggle datasets list" to show options)-p PATH, --path PATH Location to download dataset metadata to. ...
This has only been possible with the use of larger datasets and improved hardware for enhancing algorithms during their training phase. Although Generative AI is still in its early stage, it has shown in the past year alone how it is revolutionizing different industries. There are still ethical ...
For large datasets with many rows, one-hot encoding can greatly expand the size of the dataset. For this reason, we typically will only one-hot encode columns with relatively low cardinality. Then, high cardinality columns can either be dropped from the dataset, or we can use label encoding...
kaggle datasets download zillow/zecon -f State_time_series.csv 1. 2. 请注意,无法下载 BigQuery 数据集。 在对应数据集上找到API command,复制到剪切板 如上面这个数据集的命令就是: kaggle datasets download -d cisautomotiveapi/large-car-dataset ...
新建的 project v1 在左侧就可以看到,点击 Datasets → New dataset 就可以上传数据集。然后选择刚刚下载的数据集,等待上传,最后命名保存为“Audio”。 默认80%的数据集作为训练集,其余20% 用于测试集。在顶部的 New feature set进行捆绑,除 fname 外所有的功能,保存为“Lable”。右上角保存 version 后,就可以...
--size SIZE Search for datasets of a specific size. Default is 'all'. Valid options are 'all', 'small', 'medium', and 'large' --file-type FILE_TYPE Search for datasets with a specific file type. Default is 'all'. Valid options are 'all', 'csv', 'sqlite', 'json', and 'bigQu...
have experience with handling large datasets, haven't done much coding, are newer to data science, or are relatively experienced (but are just unfamiliar with Kaggle's platform), you're in the right place! 第一次登录Kaggle可能会让人望而生畏。我们的比赛通常有大量现金奖励、公开排行榜,并涉及复...
where you'll have trained your own machine learning model. So if this is your first time entering a Kaggle competition, regardless of whether you: have experience with handling large datasets, haven't done much coding, are newer to data science, or are relatively experienced (but are just un...