Testing Your Models in the Real World

Developed with
Calculated Systems

Lab Steps

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Logging in to the Amazon Web Services Console
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Opening the Lab's Jupyter Notebook
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Solutions to Testing Your Models in the Real World

The hands-on lab is part of this learning path

AWS Machine Learning – Specialty Certification Preparation
course-steps
39
certification
14
lab-steps
15

Ready for the real environment experience?

DifficultyBeginner
Time Limit1h
Students11
Ratings
5/5
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Description

How do you know that your models will do a good job making predictions on new, unseen data?

This lab will discuss the fundamentals of splitting your data into training, validation, and test data sets and demonstrate the dangers of overreliance on training data to make predictions.

Learning Objectives

Upon completion of this lab you will be able to:

  • Import data using pandas
  • Prepare data for modeling
  • Split the dataset into training and test data
  • Tune models using validation data
  • Evaluating models on a test dataset

Intended Audience

This lab is intended for:

  • Machine learning engineers
  • Anyone interested in evaluating machine learning model performance

Prerequisites

You should possess:

  • A basic understanding of Python
About the Author
Students5367
Labs31
Courses13
Learning paths17

Calculated Systems was founded by experts in Hadoop, Google Cloud and AWS. Calculated Systems enables code-free capture, mapping and transformation of data in the cloud based on Apache NiFi, an open source project originally developed within the NSA. Calculated Systems accelerates time to market for new innovations while maintaining data integrity.  With cloud automation tools, deep industry expertise, and experience productionalizing workloads development cycles are cut down to a fraction of their normal time. The ability to quickly develop large scale data ingestion and processing  decreases the risk companies face in long development cycles. Calculated Systems is one of the industry leaders in Big Data transformation and education of these complex technologies.