Projects
A collection of data science and machine learning projects.
CassavAI: Cassava Leaf Disease Detection using Neural Networks
Deep learning model using transfer learning on EfficientNetB3 to classify cassava leaf diseases, reaching 89.90% accuracy.
Call of the Forest: Detection of Animal Species in Tropical Landscape
Audio classification of rainforest species using mel spectrograms, ResNet-50, and AWS-scale data processing.
Beating the Philippine Stock Market: A Machine Learning Approach to Portfolio Management
A Random Forest stock-picking model that returned +240.70% in a simulated 2016-2020 portfolio, versus a 12.29% PSEi loss.
Right on the Monet: Creating Monet-style Art using CycleGAN
Using CycleGAN to translate landscape photos into Monet-style paintings without paired training samples.
The City that Never Sleeps: Airbnb Recommender System for New York City
Sentiment analysis of user reviews combined with user-based collaborative filtering to recommend NYC Airbnb listings.
Machine Learning
Big Data, Data Mining, and Unsupervised Clustering
- Land of the Rising Sun: Uncovering Clusters from Airbnb Listings in Tokyo, Japan
- May The Force Be With You: Analyzing the Difference in Rating System between IMDB and Rotten Tomatoes
- Clustering Philippine Stocks based on Historical Price Movement: A Dynamic Approach to Stock Screening
- Eyes on the Road! Uncovering Patterns in California's Traffic Collisions using Advanced Data Mining