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1. Introduction-to-Machine-Learning Introduction-to-Machine-Learning Public

   This repository consists of the notebooks for a course that involves the theoretical and practical knowledge about Machine Learning.

   Jupyter Notebook

2. Machine-Learning-in-Finance Machine-Learning-in-Finance Public

   This repository includes my work in a graduate course: Machine Learning in Finance.

   Jupyter Notebook

3. Deep-Model-Fusion-for-UBEM Deep-Model-Fusion-for-UBEM Public

   This study introduces a hybrid statistical UBEM that integrates dynamic and statistical models to capture building energy consumption patterns.

   Jupyter Notebook

4. Lay-Summarization-with-BART Lay-Summarization-with-BART Public

   This repository provides notebooks that generate simplified summarizes from biomedical articles using a Bidirectional and Auto-Regressive Transformers (BART) model.

   Jupyter Notebook

5. Deep-Learning Deep-Learning Public

   This repository contains my work in a graduate course: Introduction to Deep Learning.

   Jupyter Notebook

6. Applied-Machine-Learning-and-Deep-Learning Applied-Machine-Learning-and-Deep-Learning Public

   Jupyter Notebook 1