Getting Started with Kaggle

ofrecido por
Coursera Project Network
En este proyecto guiado, tú:

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

Clock1 hour
BeginnerPrincipiante
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

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.

Habilidades que desarrollarás

  • kaggle notebooks
  • kaggle courses
  • kaggle community
  • kaggle competitions
  • kaggle datasets

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  1. Kaggle Overview

  2. Kaggle Competitions

  3. Kaggle Datasets

  4. Kaggle Notebooks

  5. Kaggle Discussions & Kaggle Courses

Cómo funcionan los proyectos guiados

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso

Preguntas Frecuentes

Preguntas Frecuentes

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