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jaustinUF/README.md

I am shifting my engineering practice to machine learning, specializing in IoT ML.

Machine learning

  • began first week in April 2024
  • current work: ML_2 repository

IoT data engineering

  • edge devices: sensors, communication, control
  • edge device software
  • brokers and cloud bridges
  • IoT management (ThingWorx, Belana, N3uron, etc.)

LinkedIn account: https://www.linkedin.com/in/jim-austin-a476b562/

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  1. Banking-Churn-Project Banking-Churn-Project Public

    Analyze churn in bank accounts, and calculate ROI on predictions.

    Python

  2. Feature-Engineering-Project Feature-Engineering-Project Public

    Select data from a database to train ML models.

    Jupyter Notebook

  3. data_cleaning-ML_3 data_cleaning-ML_3 Public

    Standard data cleaning techniques for machine learning training of AI models.

    Python

  4. ML_2 ML_2 Public

    Second machine leaning project.

    Python

  5. ESP32_to_AWS_IoT_Core ESP32_to_AWS_IoT_Core Public

    C++

  6. AWS_IoT_demo_project AWS_IoT_demo_project Public

    Python