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Hey y'all!

My name is Sam Rahwa and I'm starting my career in the Tech Field. I recently graduated from the Flatiron School's Data Science Program and with an MBA in Finance from the University of Denver. I was born, raised and currently reside in Denver, Colorado.

My favorite cheesy data sciecne joke is:

I have a machine learning joke, but it is not performing as well on a new audience.

  • šŸ”­ Iā€™m currently working on neural networks and time series comparisons for predicting and forecasting stock prices.

  • šŸŒ± Iā€™m currently learning R and brushing up on my query languages.

  • šŸ˜ƒ My hobbies and passions are weightlifting, reading, economics, cooking, hiking and hanging out with my dogs.

  • šŸ“« How to reach me:

Samuel Rahwa's Projects

image-classification-with-deep-learning icon image-classification-with-deep-learning

The dataset is organized into 3 folders (train, test, val) and contains subfolders for each image category (Pneumonia/Normal). There are 5,863 X-Ray images (JPEG) and 2 categories (Pneumonia/Normal).

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