Summary
Chapters
Video Info
Laila Wahedi, PhD, Postdoctoral Fellow at the Massive Data Institute, Georgetown University, discusses her research using a machine-learning pipeline for prediction, including an example of a machine-learning pipeline and when it could be needed, choosing a machine-learning model, the first step in creating a pipeline, applying the bag-of-words model, other text-analysis models that can be used, deciding which model is best, and tools and resources helpful for students looking to use this method.
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Chapter 1: What Is Meant by a Prediction Pipeline and When Would it be Needed?
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Chapter 2: How Can You Choose Which Machine-Learning Model to Use for Prediction?
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Chapter 3: What Is the First Step in Creating a Pipeline?
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Chapter 4: How Did You Apply the Bag-of-Words Model?
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Chapter 5: What Other Text Analytics Methods Can You Use?
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Chapter 6: What Are the Steps Involved in Deciding Which Model Is the Best?
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Chapter 7: What Tools and Resources Are Helpful for Students Looking to Use This Method?
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