- Introduction to Apache Airflow in Docker
Introduction to Apache Airflow for process orchestration in a docker multi-container environment.
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- Securing Docker Environment Variables
Quick tutorial on how to secure your sensitive environment variables for your Docker containers.
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- Getting Started with Anaconda
A tutorial on installing and using the Anaconda python platform
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- TF 2.0 Examples in a Docker Environment
Tutorial on how to run Tensorflow 2.0 examples in a jupyter notebook server hosted in a docker container environment
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- Descriptive Statistics and Visualization
How to summarize your data and create visualizations to share your findings.
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- Polynomial Regression with Cross-Validation
How do you fit an n-th degree polynomial to some data in a statiscally justifible way? In this lesson we cover some important topics, including combating under/overfitting.
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- Linear Regression and Optimization
A lesson on the fundementals of linear regression and optimization using Python starting from first principles.
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- Introduction to Numpy
Introduction to matrix array manipulation with Numpy. Used as leading lesson for regression and optimization.
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- Introduction to Programming with Python
Python programming fundamentals (part 1). Taught at the University of Hawaii, at Manoa.
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