In this Aspire Journey lab, you will perform architecting tasks such as binning data, imputing values, performing cross validation and evaluating a classification model. Then, test your skills by answering assessment questions after validating a model, tuning parameters, refactoring a machine learning model, and saving and loading models using Python.
This lab provides access to several tools commonly used in machine learning, including:
• Microsoft Excel 2016
• Visual Studio Code
• Anaconda
• Jupyter Notebook + JupyterHub
• Pandas, NumPy, SiPy
• Seaborn Library
• Spyder IDE
Learning Objectives
In this Aspire Journey lab, you will perform architecting tasks such as binning data, imputing values, performing cross validation and evaluating a classification model. Then, test your skills by answering assessment questions after validating a model, tuning parameters, refactoring a machine learning model, and saving and loading models using Python.
This lab provides access to several tools commonly used in machine learning, including:
• Microsoft Excel 2016
• Visual Studio Code
• Anaconda
• Jupyter Notebook + JupyterHub
• Pandas, NumPy, SiPy
• Seaborn Library
• Spyder IDE