Automated Data Analysis

The Automated EDA Analysis project revolves around a web application designed to streamline the process of Exploratory Data Analysis (EDA) for datasets.

<span title='2023-08-01 11:30:03 +0000 +0000'>August 2023</span>&nbsp;·&nbsp;2 min&nbsp;·&nbsp;Ryan Marcus Jeremy Lupague

DeepBark: Dog Breed Classification with Image Segmentation and Localization

Developed a deep learning model to accurately predict the breed of dogs, achieving an overall accuracy score of 96% across 70 different dog breeds.

<span title='2023-04-15 11:30:03 +0000 +0000'>April 2023</span>&nbsp;·&nbsp;1 min&nbsp;·&nbsp;Ryan Marcus Jeremy Lupague

Integrated Machine Learning Model For Comprehensive Heart Disease Risk Assessment Based On Multi-Dimensional Health Factors

This project processed and analyzed 438,693 records of data from the 2021 BRFSS data from CDC. Machine Leaning models were utilized to predict the risk of developing CVDs by only using personal lifestyle factors.

<span title='2023-02-15 11:30:03 +0000 +0000'>February 2023</span>&nbsp;·&nbsp;3 min&nbsp;·&nbsp;Ryan Marcus Jeremy Lupague