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

  • Stars
    star
    1
  • Language
    Jupyter Notebook
  • Created over 4 years ago
  • Updated over 4 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
rayfrancogrivera/predicting-antarcticas-temperature-from-noaa-ghcnd-using-lstm
github

rayfrancogrivera

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

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.

More Repositories

1

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
4
star
2

prevention-is-better-than-cure-webapp

Deployed web app of Prevention is Better than Cure using Dash and Nginx.
Jupyter Notebook
1
star
3

hero-replacement-webapp

Deployed web app of Hero Replacement using Dash and Nginx.
Python
1
star
4

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.
HTML
1
star
5

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
1
star
6

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.
HTML
1
star