Portfolio

Machine Learning is a field of artificial intelligence dedicated to build algorithms and models, supervised or unsupervised, so to infer, predict and answer specific busines or societal questions. I blog about my projects to document my portfolio.

• An overview of data science for fraud detection

• Comparing ensemble approaches to improve model performance

• Techniques to handle imbalanced dataset

• Using t-SNE, as dimensionality reduction for fraud detection

• Exploratory Data Analysis - Credit Card Fraud