Machine Learning with H2O Flow

4.8
Sterne
96 Bewertungen
von
Coursera Project Network
3,798 bereits angemeldet
In diesem angeleitetes Projekt werden Sie:

Train and evaluate machine learning models with H2O Flow

Solve a business analytics problem using machine learning with Flow and AutoML

Clock1.2 hours
IntermediateMittel
CloudKein Download erforderlich
VideoVideo auf geteiltem Bildschirm
Comment DotsEnglisch
LaptopNur Desktop

This is a hands-on, guided introduction to using H2O Flow for machine learning. By the end of this project, you will be able to train and evaluate machine learning models with H2O Flow and AutoML, without writing a single line of code! You will use the point and click, web-based interface to H2O called Flow to solve a business analytics problem with machine learning. H2O is a leading open-source machine learning and artificial intelligence platform trusted by data scientists and machine learning practitioners. It has APIs available in R, Python, Scala, and also a web-based point and click interface called Flow. H2O's AutoML automates the process of training and tuning a large selection of models, allowing the user to focus on other aspects of the data science and machine learning pipelines such as data pre-processing, feature engineering, and model deployment. To get the most out of this project, we recommend that you have an understanding of basic machine learning theory, and have trained machine learning models. 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.

Kompetenzen, die Sie erwerben werden

data-scienceautomlbusiness-analyticsmachine-learningH2O

Schritt für Schritt lernen

In einem Video, das auf einer Hälfte Ihres Arbeitsbereichs abgespielt wird, führt Sie Ihr Dozent durch diese Schritte:

  1. Introduction and Project Overview

  2. Importing and Parsing Data

  3. Creating Training and Test Splits

  4. Build and Evaluate a GLM

  5. Run H2O AutoML with Flow

  6. View Leaderboard and Model Exploration

Ablauf angeleiteter Projekte

Ihr Arbeitsbereich ist ein Cloud-Desktop direkt in Ihrem Browser, kein Download erforderlich

Ihr Dozent leitet Sie in einem Video mit geteiltem Bildschirm Schritt für Schritt an.

Bewertungen

Top-Bewertungen von MACHINE LEARNING WITH H2O FLOW

Alle Bewertungen anzeigen

Häufig gestellte Fragen

Häufig gestellte Fragen

Haben Sie weitere Fragen? Besuchen Sie das Hilfe-Center für Teiln..