R interface for various datasets in US disaster aid funding. Includes cleaned datasets from NOAA, FEMA, HUD, and SBA.

An idea of making a learning system for the ICT SBA

API hosted on GCP that predicts the default of an SBA 7(a) loan

Spring Boot Logger Manager CLI

Here you can interact with some graphs and statistics about the results from the ESI-SBA and the ESI-VGATH (ESTIN)

to link to my business account

I was tasked with constructing a ML model to predict the outcome of small business loans with the goal to reduce the amount of risky loans that get approved. I chose to train a Logistic Regression model due to it being easily to interpret. The model was able to predict 90% accuracy with the testing data.

python implementation of Sparse Bundle adjustment based on RNE (Schur Complement) to use descries dimension of design matrix (A)

A predictive modeling performed through SBA National Dataset to determine loaning decision and profit optimization threshold

Custom modules for SBA

Shiny application using data from disasteraidr package. Includes map visualizations and clustering.

Should This Loan be Approved or Denied?

Analysis of Paycheck Protection Program by the government done to the Covid crisis in 2020. This repository focuses on merging, cleaning, normalizing and exploring the data using Python, Python Pandas and PySpark.

한국인공지능아카데미 & SBA 아카데미 온라인 챗봇 교육자료

python implementation of Sparse Bundle adjustment based on RNE (Schur Complement) to use descries dimension of design matrix (A) with camera calibration

Python Telegrambot Tuto

A student-managed library for ESI SBA hosting lessons, labs and previous exams.

A virtual, fully-asynchronous, Tuple Space implementation backed by Orleans.