bigdata-cloudcomputing-climate-change

This study aims to examine the potential presence of climate change to understand its impact and identify potential indicators.

bigdata-cloudcomputing-from-publication-to-citation

This project aims to address the significant challenge of low citation rates and limited readership for journal articles, which has far-reaching implications for the scholarly community and the broader research landscape.

bigdata-inside-airbnb

This study aims to analyze the changes in Airbnb prices, availability, and demand from 2019 to 2022 and explore variations in these metrics across different countries.

bjenrik

data-mining-birit-ka-ghorl

This project aims to build a recommender engine that determines the top five song titles based on word query. It is a usual occurence during karaoke sessions that you probably know the song, even the entirity of its lyrics, but you just can't seem to remember its title.

data-mining-blue-lock

As scouts and managers for an international team, how can we cluster players based on skills and attributes to match team expectations and aid in player selection for creating the ultimate pool of players for the Upcoming Seasons of the UEFA Europa League.

data-mining-getting-over-the-hangover

A reader does not have to feel so empty after finishing a good book after all. Hence, this Book Recommender system aims to present the next top 5 books based on a previously read book - to ultimately fill the void of a book hangover.

data-mining-hey-weeb-watch-this

An anime recommender system that can generate personalized recommendations.

data-mining-london-bridge-is-burning-down

The London Fire Brigade (LFB) is one of the largest firefighting and rescue organizations in the world. In the UK, they are also the busiest fire and rescue service. Using the incident and the mobilisation datasets of London Fire Brigade (LFB), the study aims to describe the characteristics of LFB's incident response times.

deep-learning-face-detection

This technical report outlines the creation of a two-stage model for: Face Detection (Notebook 1) Face Classification (Notebook 2)

deep-learning-proactive-quality-control

This project aims to develop an innovative anomaly detection system using advanced data mining and deep learning techniques to accurately identify and localize defects in manufacturing components, thereby enhancing quality control processes and reducing production losses.

geospatial-analysis-access-to-basic-necessities

Bridging the Gap: A Study on Access to Basic Necessities in the Philippines

machine-learning-why-transform-data

How would you exactly know what feature transformation technique to use in certain situations?

mltools

msds2023-ml2-interpretability

msds2023-ml3

natural-language-processing-inbox_alchemy

Maximizing Enron's Goldmine with Topic Modeling & Summarization

network-science-delay-propagation-dynamics

In the complex airline industry, disruptions often trigger chain reactions across transportation systems, leading to delay propagation. This study applies network science, experimenting with Chauhan et al.’s methodologies using the United Airlines network, to address this challenge.

network-science-ph-airport-network

Unraveling Philippine Aviation: A Comprehensive Analysis through Network Science and Scenario Exploration

reinforcement-learning-super-mario

This project aims to utilize reinforcement learning (RL) techniques to train an artificial intelligence agent capable of playing the iconic Super Mario game.

rnn-nmt-pytorch-lstm-gru-with-attention

In this notebook, we will implement Sean Robertson's "NLP FROM SCRATCH: TRANSLATION WITH A SEQUENCE TO SEQUENCE NETWORK AND ATTENTION" using a Jupyter notebook.

time-series-analysis-data-science-forecasting

This study endeavors to address the pressing question of how to comprehensively understand the evolving appeal of data science in the Philippines, with a clear objective of informing strategic growth and promotion strategies for the upcoming quarter.

time-series-handbook

transformer-nano-gpt

In this notebook, we embark on a coding journey alongside Andrej Karpathy, following his instructional video titled "Let's build GPT: from scratch, in code, spelled out." Our objective is to create a Decoder Transformer, also known as nanoGPT.