Machine Learning with H2O Flow

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在此指导项目中,您将:

Train and evaluate machine learning models with H2O Flow

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

Clock1.2 hours
Intermediate中级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

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.

您要培养的技能

data-scienceautomlbusiness-analyticsmachine-learningH2O

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. 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

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

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