Binary Classification model created using PyTorch. The goal was to train the model to correctly identify images of diseased eyes.
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An exploratory data analysis project to determine the relationship between greenhouse gas emissions, food production, and food consumption.
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A music library application built using Java.
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Investigating how time, age/experience, are assoicated with income. We trained a logistic regression model to predict income based on age, education level, hours per week, and marital-status.
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Identifying factors that affect sleep quality using linear modeling.
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We used statistical inference to determine if default payments are more prevalent for those with lower education.
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Building a classification model to predict resting ECG, and Angiographic disease status.
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