Using BigML: Unsupervised Learning
Machine Learning
| Intermediate
- 9 videos | 1h 22s
- Includes Assessment
- Earns a Badge
BigML includes various unsupervised learning models used to gain insights into your data. These insights can help make pivotal business decisions or act as a starting point to build supervised learning models. In this course, you'll build several unsupervised learning models and analyze the results they produce. You'll start by creating clusters from a dataset and examining how data points within a cluster share similarities. You'll move on to uncover associations in a dataset about items purchased on an e-commerce platform. Next, you'll apply topic modeling to extract the topics discussed in a collection of texts. Following this, you'll transform a dataset containing multiple fields into a handful of principal components using Principal Component Analysis, or PCA. Finally, you'll explore the detection of anomalies in your dataset.
WHAT YOU WILL LEARN
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Discover the key concepts covered in this course
Generate clusters in your input data and analyze the properties of each cluster
Illustrate the features of the various clustering models that can be configured in bigml
Create models from your cluster instances to identify the factors that affect cluster membership
Identify associations in a collection of transactions to find items purchased together -
Extract discussion topics in a collection of text-based product reviews
Find the principal components in a dataset containing several fields
Identify the anomalies in a dataset using bigml's anomaly detection model
Summarize the key concepts covered in this course
IN THIS COURSE
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2m 46s
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9m 10sIn this video, you will learn how to generate clusters in your input data and analyze the properties of each cluster. FREE ACCESS
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3. Availing of Clustering Options in BigML7m 24sAfter completing this video, you will be able to illustrate the features of the various clustering models that can be configured in BigML. FREE ACCESS
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4. Analyzing Clusters in BigML8m 20sIn this video, you will create models from your cluster instances to identify the factors that affect cluster membership. FREE ACCESS
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5. Generating Associations Using BigML7m 50sLearn how to identify items that are purchased together in a collection of transactions. FREE ACCESS
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6. Topic Modeling in BigML9m 36sFind out how to extract discussion topics from a collection of text-based product reviews. FREE ACCESS
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7. Building a PCA Model in BigML6m 24sIn this video, you will learn how to find the principal components in a dataset containing several variables. FREE ACCESS
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8. Detecting Anomalies in a Dataset in BigML7m 5sIn this video, you will learn how to identify anomalies in a dataset using BigML's anomaly detection model. FREE ACCESS
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9. Course Summary1m 46s
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