Building an Organization for Scaling AI - The AI CoE Model for Gaming Organizations
Artificial intelligence (AI) is reshaping industries, driving efficiencies, and enabling innovation at scale. However, its success depends not just on the te...
- ML 11
- MLOps 7
- Productionisation 7
- Feature-Engineering 6
- iGaming 3
- API 3
- Analytics 3
- Training 3
- Platform 3
- Segmentation 2
- EDA 2
- Property 2
- Event 2
- NLP 2
- DL 2
- AI 2
- CLV 1
- Churn 1
- Sentiment-Analysis 1
- Vector-Store 1
- Langchain 1
- LLM 1
- ChatGPT 1
- TTS 1
- Gen-AI 1
ML
ScatCluster - Earthquake Analysis Permalink
A workflow for clustering continuous time series with a deep scattering network. This library contains programs to transform time series into scattering coef...
g2net - 2nd Training School - Machine Learning and Signal processing for Time Series Analysis Permalink
In March 2020, I had the privilege of organizing an international training school as part of the g2net CA17137 network for Gravitational Waves, Geophysics, a...
COVID-19 Predictions for Malta Permalink
This notebook tracks the spread of the novel coronavirus, also known as the COVID-19 in Malta. COVID-19 is a contagious respiratory virus that first started ...
PyMalta Machine Learning Events Permalink
As part of my ongoing efforts to promote data science and machine learning in Malta, I had the pleasure of organizing two educational events for the PyMalta ...
ML Templates Permalink
A set of templates used for model selection for Binary- and Multi-Class Classification problems.
Employing Churn Prediction and Customer Value Prediction models to increase sales for an online Casino Permalink
A casino should maximize value of every player by encouraging them to deposit money and place bets by sending promos and giving away bonuses. This notebook s...
Hash Code 2018 Pizza Slicer Practice Problem
The Hash Code 2018 Pizza Slicer Practice Problem challenges participants to cut a large pizza into slices that contain a valid mix of ingredients, aiming to ...
Predicting the results for the 2018 Fifa World Cup Permalink
Interesting results from EDA and Feature engineering using past football data.
House price prediction for the Maltese Market Permalink
This project was put together for the Data X - An Introduction to Data Science: Storage, Visualisation and Analysis. This was one of my first attempts and ut...
Early Segmentation for online Casino Players Permalink
This notebook shows how to segment online Casino players and how to use the segments to target marketing campaigns.
MLOps
Building an Organization for Scaling AI - The AI CoE Model for Gaming Organizations
Artificial intelligence (AI) is reshaping industries, driving efficiencies, and enabling innovation at scale. However, its success depends not just on the te...
Ensure Good Coding standards with pre-commit hooks Permalink
A collection of pre-commit hooks for better Python programming.
g2net - 2nd Training School - Machine Learning and Signal processing for Time Series Analysis Permalink
In March 2020, I had the privilege of organizing an international training school as part of the g2net CA17137 network for Gravitational Waves, Geophysics, a...
Simple Sentiment Analysis Permalink
The notebooks demonstrate a basic sentiment analysis application using TF-IDF for feature extraction and Logistic Regression for sentiment classification, de...
Approximate Pi numerically using Monte Carlo Simulations Permalink
In this article, I demonstrate a Monte Carlo simulation approach to approximate $\pi$ by calculating the ratio of points within a unit circle to points in a ...
Deploying ML Classifier as an API using Flask Permalink
In these set of notebooks, I put together an API within Flask to be used in production.
Simulating a queue in a post office Permalink
This article presents a simulation of a queue system at a post office where customers arrive randomly, wait to be served by one of two clerks, and have a cha...
Productionisation
Building an Organization for Scaling AI - The AI CoE Model for Gaming Organizations
Artificial intelligence (AI) is reshaping industries, driving efficiencies, and enabling innovation at scale. However, its success depends not just on the te...
ScatCluster - Earthquake Analysis Permalink
A workflow for clustering continuous time series with a deep scattering network. This library contains programs to transform time series into scattering coef...
Ensure Good Coding standards with pre-commit hooks Permalink
A collection of pre-commit hooks for better Python programming.
Simple Sentiment Analysis Permalink
The notebooks demonstrate a basic sentiment analysis application using TF-IDF for feature extraction and Logistic Regression for sentiment classification, de...
Approximate Pi numerically using Monte Carlo Simulations Permalink
In this article, I demonstrate a Monte Carlo simulation approach to approximate $\pi$ by calculating the ratio of points within a unit circle to points in a ...
Deploying ML Classifier as an API using Flask Permalink
In these set of notebooks, I put together an API within Flask to be used in production.
Simulating a queue in a post office Permalink
This article presents a simulation of a queue system at a post office where customers arrive randomly, wait to be served by one of two clerks, and have a cha...
Feature-Engineering
COVID-19 Predictions for Malta Permalink
This notebook tracks the spread of the novel coronavirus, also known as the COVID-19 in Malta. COVID-19 is a contagious respiratory virus that first started ...
Malta Property Bubble Analysis Permalink
The Maltese property market has garnered increasing attention as property prices surge to unprecedented levels, sparking widespread debate about whether we a...
Predicting the results for the 2018 Fifa World Cup Permalink
Interesting results from EDA and Feature engineering using past football data.
House price prediction for the Maltese Market Permalink
This project was put together for the Data X - An Introduction to Data Science: Storage, Visualisation and Analysis. This was one of my first attempts and ut...
Portfolio Optimization using Markowitz Efficiency Frontier and Dash Permalink
Modern Portfolio Theory (MPT), introduced by Nobel laureate Harry Markowitz, is foundational in finance for balancing risk and return. In this article, I pre...
Chess Analytics Permalink
The Kingbase dataset, a collection of 1.8 million chess games in Portable Game Notation (PGN) format, offers a rich resource for analysing trends and pattern...
iGaming
Building an Organization for Scaling AI - The AI CoE Model for Gaming Organizations
Artificial intelligence (AI) is reshaping industries, driving efficiencies, and enabling innovation at scale. However, its success depends not just on the te...
Employing Churn Prediction and Customer Value Prediction models to increase sales for an online Casino Permalink
A casino should maximize value of every player by encouraging them to deposit money and place bets by sending promos and giving away bonuses. This notebook s...
Early Segmentation for online Casino Players Permalink
This notebook shows how to segment online Casino players and how to use the segments to target marketing campaigns.
API
Approximate Pi numerically using Monte Carlo Simulations Permalink
In this article, I demonstrate a Monte Carlo simulation approach to approximate $\pi$ by calculating the ratio of points within a unit circle to points in a ...
Deploying ML Classifier as an API using Flask Permalink
In these set of notebooks, I put together an API within Flask to be used in production.
Simulating a queue in a post office Permalink
This article presents a simulation of a queue system at a post office where customers arrive randomly, wait to be served by one of two clerks, and have a cha...
Analytics
Malta Property Bubble Analysis Permalink
The Maltese property market has garnered increasing attention as property prices surge to unprecedented levels, sparking widespread debate about whether we a...
Portfolio Optimization using Markowitz Efficiency Frontier and Dash Permalink
Modern Portfolio Theory (MPT), introduced by Nobel laureate Harry Markowitz, is foundational in finance for balancing risk and return. In this article, I pre...
Chess Analytics Permalink
The Kingbase dataset, a collection of 1.8 million chess games in Portable Game Notation (PGN) format, offers a rich resource for analysing trends and pattern...
Training
g2net - 2nd Training School - Machine Learning and Signal processing for Time Series Analysis Permalink
In March 2020, I had the privilege of organizing an international training school as part of the g2net CA17137 network for Gravitational Waves, Geophysics, a...
PyMalta Machine Learning Events Permalink
As part of my ongoing efforts to promote data science and machine learning in Malta, I had the pleasure of organizing two educational events for the PyMalta ...
ML Templates Permalink
A set of templates used for model selection for Binary- and Multi-Class Classification problems.
Platform
Building an Organization for Scaling AI - The AI CoE Model for Gaming Organizations
Artificial intelligence (AI) is reshaping industries, driving efficiencies, and enabling innovation at scale. However, its success depends not just on the te...
AI Data Platform Permalink
This project showcases an end-to-end data engineering system designed to handle real-time data for AI applications, with a specific use case in an online iGa...
Ensure Good Coding standards with pre-commit hooks Permalink
A collection of pre-commit hooks for better Python programming.
Segmentation
Employing Churn Prediction and Customer Value Prediction models to increase sales for an online Casino Permalink
A casino should maximize value of every player by encouraging them to deposit money and place bets by sending promos and giving away bonuses. This notebook s...
Early Segmentation for online Casino Players Permalink
This notebook shows how to segment online Casino players and how to use the segments to target marketing campaigns.
EDA
Predicting the results for the 2018 Fifa World Cup Permalink
Interesting results from EDA and Feature engineering using past football data.
Early Segmentation for online Casino Players Permalink
This notebook shows how to segment online Casino players and how to use the segments to target marketing campaigns.
Property
Malta Property Bubble Analysis Permalink
The Maltese property market has garnered increasing attention as property prices surge to unprecedented levels, sparking widespread debate about whether we a...
House price prediction for the Maltese Market Permalink
This project was put together for the Data X - An Introduction to Data Science: Storage, Visualisation and Analysis. This was one of my first attempts and ut...
Event
g2net - 2nd Training School - Machine Learning and Signal processing for Time Series Analysis Permalink
In March 2020, I had the privilege of organizing an international training school as part of the g2net CA17137 network for Gravitational Waves, Geophysics, a...
PyMalta Machine Learning Events Permalink
As part of my ongoing efforts to promote data science and machine learning in Malta, I had the pleasure of organizing two educational events for the PyMalta ...
NLP
Schola Tutor Permalink
Schola Tutor is an AI-driven chatbot designed to be a friendly and effective math teacher. It leverages advanced language models to provide clear, interactiv...
Simple Sentiment Analysis Permalink
The notebooks demonstrate a basic sentiment analysis application using TF-IDF for feature extraction and Logistic Regression for sentiment classification, de...
DL
ScatCluster - Earthquake Analysis Permalink
A workflow for clustering continuous time series with a deep scattering network. This library contains programs to transform time series into scattering coef...
g2net - 2nd Training School - Machine Learning and Signal processing for Time Series Analysis Permalink
In March 2020, I had the privilege of organizing an international training school as part of the g2net CA17137 network for Gravitational Waves, Geophysics, a...
AI
Building an Organization for Scaling AI - The AI CoE Model for Gaming Organizations
Artificial intelligence (AI) is reshaping industries, driving efficiencies, and enabling innovation at scale. However, its success depends not just on the te...
Schola Tutor Permalink
Schola Tutor is an AI-driven chatbot designed to be a friendly and effective math teacher. It leverages advanced language models to provide clear, interactiv...
CLV
Employing Churn Prediction and Customer Value Prediction models to increase sales for an online Casino Permalink
A casino should maximize value of every player by encouraging them to deposit money and place bets by sending promos and giving away bonuses. This notebook s...
Churn
Employing Churn Prediction and Customer Value Prediction models to increase sales for an online Casino Permalink
A casino should maximize value of every player by encouraging them to deposit money and place bets by sending promos and giving away bonuses. This notebook s...
Sentiment-Analysis
Simple Sentiment Analysis Permalink
The notebooks demonstrate a basic sentiment analysis application using TF-IDF for feature extraction and Logistic Regression for sentiment classification, de...
Vector-Store
Schola Tutor Permalink
Schola Tutor is an AI-driven chatbot designed to be a friendly and effective math teacher. It leverages advanced language models to provide clear, interactiv...
Langchain
Schola Tutor Permalink
Schola Tutor is an AI-driven chatbot designed to be a friendly and effective math teacher. It leverages advanced language models to provide clear, interactiv...
LLM
Schola Tutor Permalink
Schola Tutor is an AI-driven chatbot designed to be a friendly and effective math teacher. It leverages advanced language models to provide clear, interactiv...
ChatGPT
Schola Tutor Permalink
Schola Tutor is an AI-driven chatbot designed to be a friendly and effective math teacher. It leverages advanced language models to provide clear, interactiv...
TTS
Schola Tutor Permalink
Schola Tutor is an AI-driven chatbot designed to be a friendly and effective math teacher. It leverages advanced language models to provide clear, interactiv...
Gen-AI
Building an Organization for Scaling AI - The AI CoE Model for Gaming Organizations
Artificial intelligence (AI) is reshaping industries, driving efficiencies, and enabling innovation at scale. However, its success depends not just on the te...