What is the translation of " KAGGLE " in English?

• kaggle

Examples of using Kaggle in Chinese and their translations into English

数据来自Kaggle.
Full data from kaggle.

动手实战Kaggle比赛比赛.
The Kaggle Competition.

数据来自Kaggle.
Dataset taken from Kaggle.

Kaggle数据科学调查.
The Kaggle Data Science Survey.

参加一些比赛,例如Kaggle.
Competitions, such as Kaggle.

Kaggle上猫狗比赛.
Dogs vs Cats competition on Kaggle.

工程竞赛数据科学Kaggle.
The data science competition Kaggle.

讲几个Kaggle竞赛真题吧。
Check out a few competitions on Kaggle.

我绝对不是Kaggle的专家。
I am definitely not an expert at Kaggle.

我使用了Kaggle的两个数据集。
We have used two different datasets from Kaggle.

你为什么要从Kaggle开始？?
Why should you get started with Kaggle?

Kaggle的Python机器学习教程.
The Kaggle Python Tutorial on Machine Learning.

对测试集并在Kaggle提交结果.
The Testing Set and Submit Results on Kaggle.

Kaggle是举世最大的数据科学社区。
Kaggle Kaggle is the world's largest community of data scientists.

对测试集分类并在Kaggle提交结果.
The Testing Set and Submit Results on Kaggle.

这就是参加Kaggle挑战所能获得的。
And that's what you can get from participating in a Kaggle challenge.

KaggleJupyter笔记本为KaggleKernels.
A Kaggle Jupyter Notebook known as Kaggle Kernels.

在本节之后，我将详细讨论Kaggle的这个方面。
I will talk about that aspect of Kaggle in details after this section.

我理解这种感觉，因为我最近开始在Kaggle上入门。
I understand this feeling as I have recently started with Kaggle myself.

有趣的比赛和Kaggle中强大的竞争对手让我不断进步。
Interesting competitions and great competitors on Kaggle make me better.

一些初学者犹豫使用Kaggle，这并不奇怪。
It's no surprise that most of the beginners hesitate to get started on Kaggle.

有趣的竞赛和Kaggle中强大的竞争对手是我变得越来越强的原因。
Interesting competitions and great competitors on Kaggle make me better.

Kaggle数据集--Kaggle社区上的100多个数据集。
Kaggle Datasets- 100+ datasets uploaded by the Kaggle community.

Stacking是赢取Kaggle数据科学竞赛的常用技术。
Stacking is a commonly used technique for winning the Kaggle data science competition.

Kaggle数据集-由Kaggle社区提供的开放数据集。
Kaggle Datasets- Open datasets contributed by the Kaggle community.

获胜的方法常常在Kaggle的博客NoFreeHunch上展示。
The winning methods are frequently written up on the Kaggle blog, No Free Hunch.

杰里米·霍华德，背后FastAI力一直顶Kaggler和总统Kaggle。
Jeremy Howard, the force behind FastAI has been a top Kaggler and President of Kaggle.

Kaggle获胜的方法常常在Kaggle的博客NoFreeHunch上展示。
They earned Kaggle swag and were featured on the Kaggle blog, No Free Hunch.

有数百篇Kaggle教程和文章，还有数千篇有关机器学习的文章、书籍和资源。
There are literally hundreds of Kaggle tutorials and articles out there, plus thousands more machine learning articles, books and resources.