5DollarBurger
Data scientist developing machine learning models across applications. Passionate about rational risk-based decision making.
Delivery HeroSingapore
Pinned Repositories
Age-In-Minutes
This mobile application calculates your age in minutes. Enter your birth date and see how many minutes you have lived!
Auto-Env
Scatter diagrams are typically available in the form of observation counts or normalised into frequencies. These classes of Python modules aim to perform long-term uncertainty modelling of sea state parameters in an automated fashion. The first class takes in the scatter diagram and fits model parameters using DNV recommended probability distributions, while the second class performs various analyses with the fitted model. These include extrapolating return period significant wave heights, and contouring of 𝑁 -year conditions.
Calculator-App
This lightweight mobile app performs simple mathematical operations.
Condition-Based-Maintenance
This work proposes a joint-probabilistic model between the remaining life and inspection observations, which is then used to perform prognostics on currently installed assets. At every new observation, the forward-looking belief on the asset's remaining life is Bayesian updated, granting dynamic estimations on its failure probability. Consequently, inspection times are optimally determined, with increasing frequency as the component deteriorate. The trained model is evaluated using an independent inspection history of a bearing component, and the predicted prognostics are observed to converge towards the actual failure date of the asset.
Digit-Recognizer
The AI models applied in this repository classify handwritten digits (0-9). The MNIST dataset is applied as a toy problem to investigate various machine learning solutions.
Drawing-App
Ecommerce-Website
Hidden-Markov
Hidden Markov Model (HMM) is a statistical Markov model in which the system being modelled is assumed to be a Markov process Z with unobservable "hidden" states. HMM assumes that there is another process X whose behaviour "depends" on Z. The goal is to learn about Z by observing X.
Portfolio-Optimization
A simple automated workflow for: 1) identifying investor indifference characteristics 2) strategic asset allocations with optimal risk-return
Quiz-App
This mobile application presents a framework to quiz users with a line of questions, each with an image. In this example, users are quizzed to identify countries by their flags. Results are tallied and presented at the end.
5DollarBurger's Repositories
5DollarBurger/Condition-Based-Maintenance
This work proposes a joint-probabilistic model between the remaining life and inspection observations, which is then used to perform prognostics on currently installed assets. At every new observation, the forward-looking belief on the asset's remaining life is Bayesian updated, granting dynamic estimations on its failure probability. Consequently, inspection times are optimally determined, with increasing frequency as the component deteriorate. The trained model is evaluated using an independent inspection history of a bearing component, and the predicted prognostics are observed to converge towards the actual failure date of the asset.
5DollarBurger/Portfolio-Optimization
A simple automated workflow for: 1) identifying investor indifference characteristics 2) strategic asset allocations with optimal risk-return
5DollarBurger/Hidden-Markov
Hidden Markov Model (HMM) is a statistical Markov model in which the system being modelled is assumed to be a Markov process Z with unobservable "hidden" states. HMM assumes that there is another process X whose behaviour "depends" on Z. The goal is to learn about Z by observing X.
5DollarBurger/Quiz-App
This mobile application presents a framework to quiz users with a line of questions, each with an image. In this example, users are quizzed to identify countries by their flags. Results are tallied and presented at the end.
5DollarBurger/Age-In-Minutes
This mobile application calculates your age in minutes. Enter your birth date and see how many minutes you have lived!
5DollarBurger/Auto-Env
Scatter diagrams are typically available in the form of observation counts or normalised into frequencies. These classes of Python modules aim to perform long-term uncertainty modelling of sea state parameters in an automated fashion. The first class takes in the scatter diagram and fits model parameters using DNV recommended probability distributions, while the second class performs various analyses with the fitted model. These include extrapolating return period significant wave heights, and contouring of 𝑁 -year conditions.
5DollarBurger/Calculator-App
This lightweight mobile app performs simple mathematical operations.
5DollarBurger/Digit-Recognizer
The AI models applied in this repository classify handwritten digits (0-9). The MNIST dataset is applied as a toy problem to investigate various machine learning solutions.
5DollarBurger/Drawing-App
5DollarBurger/Ecommerce-Website
5DollarBurger/housing-sg-calc
5DollarBurger/Learn-Airflow
5DollarBurger/Learn-Dash
Financial reporting with Dash.
5DollarBurger/Learn-DBT
5DollarBurger/Scaffolding-Python
Boilerplate repository for Python projects.
5DollarBurger/Trading-System
A simple trading system simulating price movements from order placements.
5DollarBurger/Transport-Timing-Assistant
This app provides decision support on when to leave your home, so that you can board your public transport with minimal waiting.