Applying Machine Learning
Machine Learning
| Beginner
- 13 videos | 32m 32s
- Includes Assessment
- Earns a Badge
Applying machine learning to problems can be a difficult task because of all the different models that are offered. Discover how to evaluate and select machine learning models and apply machine learning to a problem.
WHAT YOU WILL LEARN
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Describe the two main types of error in machine learning models and the tradeoff between themDescribe how to use cross-validation to show how generalized a model isDescribe cross-validation in python to obtain strong evaluation scoresDescribe different metrics that can be used to evaluate binary classification modelsDescribe different metrics that can be used to evaluate non-binary classification modelsDescribe common evaluation metrics for evaluating classification modelsDescribe different metrics that can be used to evaluate regression models
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Describe how to use python to calculate common evaluation methodsDescribe aws machine learningSet up an aws environment and import data sourcesCreate a model with awsSet training criteria with aws and train a modelDescribe how to evaluate different models and select one
IN THIS COURSE
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2m 22sAfter completing this video, you will be able to describe the two main types of error in machine learning models and the tradeoff between them. FREE ACCESS
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1m 26sUpon completion of this video, you will be able to describe how to use cross-validation to show how well a model generalizes. FREE ACCESS
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1m 49sAfter completing this video, you will be able to describe cross-validation in Python to obtain accurate evaluation scores. FREE ACCESS
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2m 59sUpon completion of this video, you will be able to describe different metrics that can be used to evaluate binary classification models. FREE ACCESS
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1m 38sUpon completion of this video, you will be able to describe different metrics that can be used to evaluate binary classification models. FREE ACCESS
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3m 1sUpon completion of this video, you will be able to describe common evaluation metrics for classification models. FREE ACCESS
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1m 29sAfter completing this video, you will be able to describe different metrics that can be used to evaluate regression models. FREE ACCESS
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1m 35sUpon completion of this video, you will be able to describe how to use Python to calculate common evaluation methods. FREE ACCESS
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2m 12sAfter completing this video, you will be able to describe AWS machine learning in standard English. FREE ACCESS
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3m 18sDuring this video, you will learn how to set up an AWS environment and import data sources. FREE ACCESS
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3m 25sIn this video, you will learn how to create a model with AWS. FREE ACCESS
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5m 7sIn this video, learn how to set training criteria with AWS and train a model. FREE ACCESS
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2m 11sUpon completion of this video, you will be able to describe how to evaluate different models and select one that is the best fit. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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Channel
Wintellect Machine Learning
Channel
Machine Learning