No-code ML with RapidMiner: Performing Clustering Analysis

RapidMiner 9.9+    |    Intermediate
  • 9 videos | 1h 1m 13s
  • Includes Assessment
  • Earns a Badge
Rating 4.0 of 2 users Rating 4.0 of 2 users (2)
Clustering models work with unlabeled data, finding logical groupings in data, and are often used for social media ad targeting and document discovery. In this course, explore the clustering unsupervised learning technique. Next, retrieve data from the repository into your process and use Turbo Prep to clean and preprocess the data for clustering analysis. Then use Auto Model to train k-means and x-means clustering models on your data and evaluate and visualize the models created. Finally, create your own analytics process for k-means clustering, evaluate your model using the Davies-Bouldin score, use principal component analysis (PCA) to better visualize the clusters found in your data, and determine the ideal number of clusters by using hyperparameter tuning. When you are finished with this course, you will be able to fit and evaluate clustering models on your data and visualize clusters with data points plotted using principal components.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Describe what clustering is used for
    Visualize data using bar charts and scatter charts
    Use turbo prep and auto model to prepare and cluster data
    Prepare data for clustering
  • Perform k-means clustering
    Perform principal component analysis (pca) and visualize clusters
    Perform hyperparameter tuning to identify the ideal number of clusters
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 57s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 5m 42s
    After completing this video, you will be able to describe what clustering is used for. FREE ACCESS
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    3.  Loading and Visualizing Data
    8m 12s
    During this video, discover how to visualize data using bar charts and scatter charts. FREE ACCESS
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    4.  Performing Clustering using Turbo Prep and Auto Model
    11m 9s
    In this video, learn how to use Turbo Prep and Auto Model to prepare and cluster data. FREE ACCESS
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    5.  Preparing Data for Clustering
    5m 42s
    Upon completion of this video, you will be able to prepare data for clustering. FREE ACCESS
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    6.  Performing and Evaluating K-means Clustering
    11m 56s
    Find out how to perform k-means clustering. FREE ACCESS
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    7.  Visualizing Clusters using Principal Components
    6m 32s
    In this video, discover how to perform principal component analysis (PCA) and visualize clusters. FREE ACCESS
  • Locked
    8.  Hyperparameter Tuning for Optimal Number of Clusters
    8m 12s
    In this video, learn how to perform hyperparameter tuning to identify the ideal number of clusters. FREE ACCESS
  • Locked
    9.  Course Summary
    1m 51s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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