Getting Started with Kaggle

提供方
在此免费指导项目中,您将:

Explore Kaggle Datasets and Kaggle Notebooks which is a cloud-based coding environment

Explore Kaggle Competitions, its prizes and how to participate in it

Explore Kaggle community discussion forums and Kaggle Courses

在面试中展现此实践经验

1 hour
面向初学者
无需下载
分屏视频
英语(English)
仅限桌面

In this guided project, you will explore Kaggle Competitions, Kaggle Datasets, Kaggle Notebooks which is a cloud-based coding environment, Kaggle Discussion forum and Kaggle Courses. We will begin this course by creating a Kaggle account. We will then explore Kaggle competitions, the prize money and how to participate in them. We will focus primarily on the legendary Titanic Machine learning competition. We will explore Kaggle datasets. We will also explore Kaggle Notebooks which is a cloud-based coding environment. We will also explore the awesome “Copy and Edit” feature from Kaggle notebooks that enables us to work on and improvise on the work of others. In the final tasks, we will explore the Kaggle community discussion forum and explore the theoretical and practical sections of Kaggle courses. By the end of this project, you will be confident in using Kaggle for your data science and machine learning needs.

必备条件

No prior experience in Kaggle is required. This is a beginner course.

您要培养的技能

  • kaggle notebooks

  • kaggle courses

  • kaggle community

  • kaggle competitions

  • kaggle datasets

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  1. Kaggle Overview

  2. Kaggle Competitions

  3. Kaggle Datasets

  4. Kaggle Notebooks

  5. Kaggle Discussions & Kaggle Courses

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

常见问题

由于您的工作空间包含适合笔记本电脑或台式计算机使用的云桌面,因此指导项目不在移动设备上提供。

指导项目授课教师是特定领域的专家,他们在项目的技能、工具或领域方面经验丰富,并且热衷于分享自己的知识以影响全球数百万的学生。

您可以从指导项目中下载并保留您创建的任何文件。为此,您可以在访问云桌面时使用‘文件浏览器’功能。

您可在页面顶部点按此指导项目的经验级别,查看任何知识先决条件。对于指导项目的每个级别,您的授课教师会逐步为您提供指导。

是,您可以在浏览器的云桌面中获得完成指导项目所需的一切。

您可以直接在浏览器中于分屏环境下完成任务,以此从做中学。在屏幕的左侧,您将在工作空间中完成任务。在屏幕的右侧,您将看到有授课教师逐步指导您完成项目。