No-code ML with RapidMiner: Building & Using Classification Models

RapidMiner 9.9+    |    Intermediate
  • 11 videos | 1h 20m 1s
  • Includes Assessment
  • Earns a Badge
Rating 5.0 of 1 users Rating 5.0 of 1 users (1)
Classification models are used in the real world to predict whether to buy, sell, or hold a particular stock or to identify objects in images. RapidMiner studio supports features such as Turbo Prep and Auto Model that completely automate data processing and model building. In this course, discover how classification models can be used to categorize input records and how metrics such as accuracy, precision, and recall can be used to evaluate those classification models. Next, create a process to retrieve, summarize, and visualize data using operators. Finally, configure your own workflow for classification, and train and compare a logistic regression model and a random forest model. You will choose the best-performing model for local deployment on your machine and see how you can use deployed models for predictions. Once you have completed this course you will have the skills to train, clean, and process data in order to train classification models and deploy your model locally.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    View the uses and features of classification
    Load data and view statistics
    Assign roles to attributes
    Prepare data using turbo prep
    Create and train models using auto model
  • Prepare and clean missing values and duplicate rows
    Train a logistic regression model
    Compare two classification models
    Deploy a model to the local machine
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 2m 8s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 5m 50s
    Upon completion of this video, you will be able to view the uses and features of classification. FREE ACCESS
  • Locked
    3.  Loading and Summarizing Data
    11m 26s
    Discover how to load data and view statistics. FREE ACCESS
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    4.  Assigning Roles and Removing Useless Attributes
    5m 55s
    During this video, you will learn how to assign roles to attributes. FREE ACCESS
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    5.  Preparing Data using Turbo Prep
    9m 39s
    Find out how to prepare data using Turbo Prep. FREE ACCESS
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    6.  Building Models using Auto Model
    5m 47s
    In this video, you will learn how to create and train models using Auto Model. FREE ACCESS
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    7.  Treating Missing Values and Removing Duplicate Rows
    9m 18s
    During this video, discover how to prepare and clean missing values and duplicate rows. FREE ACCESS
  • Locked
    8.  Training and Evaluating a Logistic Regression Model
    9m 53s
    In this video, find out how to train a logistic regression model. FREE ACCESS
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    9.  Training and Evaluating Multiple Classification Models
    8m 41s
    Learn how to compare two classification models. FREE ACCESS
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    10.  Deploying a Model Locally
    9m 26s
    In this video, discover how to deploy a model to the local machine. FREE ACCESS
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    11.  Course Summary
    1m 58s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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