Discover @rayfrancogrivera Open Source projects

rfgrivera (@rayfrancogrivera)

rayfrancogrivera

Stars
10
Global Rank 972,590 (Top 34 %)
Registered over 5 years ago
Most used languages

Jupyter Notebook
57.1 %

HTML
28.6 %

Python
14.3 %
Location 🇵🇭 Philippines
Country Total Rank 1,740
Country Ranking

Jupyter Notebook
53

HTML
351

Python
757

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.

hero-replacement-determining-the-best-alternatives-for-a-banned-hero-in-dota2

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.

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

predicting-antarcticas-temperature-from-noaa-ghcnd-using-lstm

Wrangled big data on AWS using a dask cluster then implemented a deep learning model to predict Antarctica's temperature using the NOAA GHCN-D dataset.

Jupyter Notebook

user-specific-stackexchange-subdomain-recommender-system

Processed big data (>300GB) in Amazon Web Services (AWS) Cloud to create a subdomain recommender system that is specific to each user. The recommender system was developed using frequent itemsets and collaborative filtering.