Brain Tumor Detection — Random Forest Classifier Built a machine learning model using Random Forest to detect brain tumors from medical data. Achieved strong classification performance with 86% accuracy on negative cases and perfect recall on positive cases, evaluated using a normalized confusion matrix.
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Algorithm Bias Analysis — Instagram & Twitter Analyzed engagement and reach patterns across Instagram and Twitter datasets using Python and Pandas. Explored how algorithmic differences between platforms affect content visibility, using statistical distributions and mean vs median comparisons to surface bias in reach metrics.