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Created almost 5 years ago
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rayfrancogrivera

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Developed a recommender system using unsupervised machine learning and information retrieval to short-list alternatives to a banned hero in DOTA 2. Presented the passion project at the 20th National Student-Faculty Conference on Statistical Sciences.

powerph-predicting-electricity-demand-of-the-philippines-using-neural-networks

Developed a deep learning model using Feedforward Neural Network (FNN), Long-Short Term Memory (LSTM), and Gated Reccurent Unit (GRU) to predict the Philippines’ electricity demand.

Jupyter Notebook

prevention-is-better-than-cure-webapp

Deployed web app of Prevention is Better than Cure using Dash and Nginx.

Jupyter Notebook

hero-replacement-webapp

Deployed web app of Hero Replacement using Dash and Nginx.

Python

prevention-is-better-than-cure-estimating-illegal-drug-vulnerability-among-filipino-youth

Wrangled the 2013 Young Adult Fertility and Sexuality Study (YAFS) Survey to develop a machine learning model that predicts a Filipino youth’s propensity to various illegal drugs.

Jupyter Notebook