algothon21

Base and testing files for SIG x FinTechSoc Algothon 2021.

api-template

Flask API template

aserravalle.github.io

Namipay hosting

asp.net-webapi

Following ArtofEngineer Tutorial to create full stack C# API

cognitive-class-python-data-science

A summary of the principles they teach in cognitive AI's introduction to python for data science course.

command-line-cheat-sheet

comp2511-practice-questions

design-patterns

Examples of design patterns using real-life models

dungeonmania-comp2511

fastai-v3

Starter app for fastai v3 model deployment on Render

firebase-flask-form

A Flask and Firebase web app that collects candidate information and resumes

flask-boilerplate

A boilerplate for ML APIs and web pages in Flask

flask-resume-collector

A resume collection web app built on Flask with connection to Firebase Authentication, DB, and Storage

fraud-detection-logistic-regression-api

Using credit card data to classify fradulent transaction

gan-generate-fashion

Generate images of clothing using a GAN

irisfullstack

Machine Learning Model with REST API Deployment

jazz-ml

Machine learning deployment software

kmeans-credit-model-empatkali

A KMeans clustering algorithm I built for the credit model of Indonesian fintech Empatkali

kuse-basic-site

github pages

kuse-landing-page

Landing Page for my tech consulting company

lifetable_calculator

lightgbm-predict-valuable-customers

Predict which customers are most likely to be successfully sold an annuity

machine-learning-helpers

Machine Learning Helpers

machine-learning-startup

MVP for a product which predicts the eligibility of a hiring candidate

monte-carlo-sim-car-insurance-claims

An actuarial assignment to simulate claims and improve on a No Claims Discount Policy for a car insurer.

nami-pay

Allows a customer to fill in their bank details, pull up their transactions, settle their bills, and borrow money.

responsive-flask-website

Building a fully responsive, mobile friendly webapp on flask, inspired by Karen Menezes course on Plural Sight

sql-anomaly-detection

stock-prediction-linear-regression

Jupyter Notebook that uses 3 different regression methods to predict closing stock prices for each day. Features used include previous H/L/O/C, competitor stock prices and rolling correlation, moving averages, and return. Future ideas for this project include the incorporation of better technical indicators, standardising predictions to RETURN instead of absolute closing price, more advanced prediction mechanics (like weighting the coefficients of competitors' share price predictors by rolling correlation), sentiment analysis of the stock on twitter, and the building of a Flask web app.

stroke-prediction-xgboost

As part of the UNSW DataSoc Hackathon, we had to predict strokes from a dataset of medical records. They included health and personal records, as well as the treatments they are on.