My Learning Projects
Evaluates financial and demographic profiles to predict loan default risks. Features synthetic minority over-sampling via SMOTE to neutralize data imbalance.
Diagnostic classification system leveraging microscopic cellular measurements to differentiate malignant tumors from benign growths with high precision.
Biomedical voice signal processing pipeline analyzing vocal tremors and frequency variations to non-invasively classify Parkinson's pathology.
Natural Language Processing (NLP) framework utilizing TF-IDF matrix tokenization to evaluate context and determine sentiment polarity on 50k IMDB reviews.
A live time-series deployment integrating real-time yFinance market data streaming with automated Random Forest pipeline executions under Streamlit.