Data Science and Machine Learning

During my Ph.D. research in engineering, I gained experience using quantitative methods like regression and clustering to analyze complex data. This path fueled my passion for Machine Learning, which has since evolved into a broader interest in Artificial Intelligence as a whole, given its rapid and widespread evolution. I am currently studying to expand my skills and apply them to innovative projects.

Research interests

• Linear and Polynomial regression

• Classification

• Decision tree

• Random Forests

• Clustering

• K-means

• Neural Networks and Deep learning

• Scikit-Learn

• Keras

• TensorFlow