TensorFlow, Keras

Sentiment Analysis with SetFit on SST‑5

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In this project, I leveraged SetFit, Hugging Face’s prompt‑free few‑shot classification framework, to tackle the challenging SST‑5 task—fine-grained sentiment analysis across five classes (very negative to very positive) What makes SetFit so compelling is its efficiency and simplicity: This project highlights how evolving NLP techniques—from static embeddings to contextual transformers—impact performance and interpretability. Fine-tuned transformer … Read more

Time Series Forecasting for Book Sales: My Journey with Nielsen BookScan Data

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In this project, I dive into the practical world of time series analysis to forecast sales and demand—a crucial skill in today’s data-driven business environment. By working with real sales data from Nielsen BookScan, I have the opportunity to bridge the gap between theory and real-world application. My goal is to turn historical data into … Read more

Applying supervised learning to predict student dropout

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Student retention is critical for educational institutions, impacting financial sustainability andacademic success. High dropout rates can lead to revenue losses and reputational damage.Study Group, a global education provider, aims to enhance student success by identifying atrisk students early and implementing proactive interventions. This study applies supervisedmachine learning techniques to predict dropout risks, enabling Study Group … Read more