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Machine Learning Projects

Working with the Chest X-Ray Images (Pneumonia) dataset

The dataset consists of 5,865 chest X-rays of various resolution and aspect ratio. They are classified into sets that are normal, have bacterial pneumonia, or have viral pneumonia. Here are some example chest X-rays.

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Project is in its early stages. See the current writeup and jupyter notebook for more details.

Working with the Kaggle Spotify Dataset 1921-2020, 160k+ Tracks dataset

Trained RandomForest, DNN, LinearRegression, and LinearSVR to predict songs populartiy. Obtained a RMSE error of 12.300 which is nearly 2x more accurate than guessing the average popularity. See the writeup and jupyter notebook for more details.

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