How to Use Microsoft Azure ML Studio for Kaggle Competitions

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

Create your own Azure ML Studio account and navigate the Azure Platform

Create an account on Kaggle, navigate through it and join an identified Kaggle competition

Use Azure ML studio to clean data, perform regression tasks on data and compare two regression models

Clock1.5 hours
IntermediateIntermedio
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

In this 90 minutes long project-based course, you will learn how to create a Microsoft Azure ML Studio account, a Kaggle account for competitions and use both of them to build a machine learning model which we will be using to make predictions. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Habilidades que desarrollarás

  • Data Science
  • Machine Learning
  • Cloud Computing
  • Data Cleansing

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. Create your Azure ML Studio account and navigate the Azure Platform

  2. Create an account on Kaggle, navigate through it and join a competition

  3. Use Azure ML studio to clean data, perform regression tasks on data and compare two regression models

  4. Part 2: Use Azure ML studio to clean data, perform regression tasks on data and compare two regression models

  5. Make predictions using Azure Studio’s Score Module on Kaggle test data, you will also explore the predictions, convert it to CSV, download it and eventually upload on Kaggle.

  6. Part 2: Make predictions using Azure Studio’s Score Module on Kaggle test data, you will also explore the predictions, convert it to CSV, download it and eventually upload on Kaggle.

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

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