Classifying lung nodules as benign or malignant using medical imaging CT data and data augmentation and deep learning techniques like CNNs and Hybrid Deep Learning. The goal is to assist in early detection of lung cancer by aiding radiologists.

Building a model to predict the price of a given real estate property in Buenos Aires, Argentina based on the information users input to Properati.ar when they list it for sale.

Clustering player-seasons into meaningful groups based on their per-100 possession statistics. The goal was to discover patterns and similarities in player performance using unsupervised learning techniques.

Classification of free text amazon reviews into positive or negative classes, and evaluating several models to predict the star rating out of five for each one.

Implementing a KNN algorithm on the waveform.data dataset using only numpy, and getting close to the benchmark accuracy of 86%.

Web Scraping of the game results for several leagues of european and american professional football.