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anomalydetectiononrisk

Thesis project about Unsupervised anomaly detection on the streaming time-series data of porfolio risk measures and returns.

automated-10k-web-scraper

This project is utilizes tools such as selenium to create an automated webscraper that fetches the latest filed 10K report of any registered company to US SEC. The content of the report is then parsed and sectioned using REGEX.

awesome-financial-nlp

Researches for Natural Language Processing for Financial Domain

awesome-public-datasets

A topic-centric list of HQ open datasets.

aws-certified-cloud-practitioner-notes

Notes compiled based on AWS E-Learning lessons and transcripts

bikefitting

Hobby Project aiming at create a bike fitting app with mediapipe and opencv

cnn-image-segmentation

Deep learning project focused on dark matter searches

credit-default-analysis-and-prediction

This project performs exploratory data analysis on Credit Default records from Hong Kong. Different predictive models were also assessed with the best one being subjected to hyperparameter tuning to further optimize performance.

customer_clustering_and_analysis

In this project customer information were utilized to perform clustering using KMeansClustering. The behavior and preferences of the clusters obtained were analyzed to unlock valuable insights that drive customer-centric strategies and ultimately lead to increased customer satisfaction and business growth.

data-science-on-aws

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

decathlon-dashboard

eikonalnet

Contains code for training and testing a neural net intended to create cardiac activation maps

fbpinns

Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)

financial-machine-learning

A curated list of practical financial machine learning tools and applications.

fsl_detection

This project utilizes Mediapipe and OpenCV to create that detects and translates Filipino Sign Languge (FSL) gestures and letters into Filipino texts.

gravnn

Repository for Gravity Field Modeling and Recovery using Machine Learning Methods

hipparcos_exploratory_analysis_and_classification

This project takes a look at the Hipparcos Dataset which catalogues the position and other relevant information for more than one hundred thousand stars. Exploratory data analysis were performed after which several classification models were created. Neural networks were also employed in the classification task.

imdb-webscraping-and-exploratory-data-analysis

This project involves scraping IMDB data about the top 250 using BeautifulSoup and Requests. The data were then used for a simple exploratory data analysis.

machine-learning-for-stock-recommendation-ieee-2018

A Practical Machine Learning Approach for Dynamic Stock Recommendation. IEEE TrustCom 2018.

magic-gamma-telescope-particle-classifier

Utilized Monte Carlo simulated data for registered high energy gamma particles in a ground-based atmospheric Cherenkov Gamma Telescope to perform exploratory data analysis and create machine learning models.

oil-portraits-using-gan

This repository showcases a GAN-based solution that creates oil portraits from scratch. Through extensive training on a diverse collection of art, this AI-powered system learns to generate portraits that embody the essence of classical oil painting techniques and artistic expression.

pinnpapers

Must-read Papers on Physics-Informed Neural Networks.

sentiment_analysis_and_clustering_using_roberta

This project aims to analyze women's clothing e-commerce reviews using sentiment analysis techniques and apply clustering algorithms to gain deeper insights into the products being reviewed. RoBERTa was used to facilitate the sentiment analysis and then KMeans was employed for the clutering processing.

sp500

Current and Historical Lists of S&P 500 components since 1996

ssl4mis

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

tensorflow-books

"All businesses could use a garden where Data Scientists plant seeds of possibility and water them with collaboration." ― Damian Mingle

test_scores_machine_learning

This is a simple machine leaning exercise intended to predict mean test scores of students.

text-summarizer-for-analysis-of-business-reports

the project aims to build an efficient and robust text summarizer neural network that can effectively assist users in obtaining concise summaries of lengthy textual content across various domains.

toronto-stock-exchnge-web-scrape-and-eda

For this project, Toronto Historical Stock values were scraped from the eoddata website in order to perform a simple exploratory data analysis.

wemby_vs_holmgren_nba_debut_sentiment_comparison

The project aims to extract data from YouTube comments, preprocess the data using RoBERTa transformers, develop a sentiment analysis model, analyze sentiment distribution and trends, and provide an interactive visualization.