Python AutoML for Trading Systems and Sports Betting

Python toolkit, MCP server, and agent skills for reproducible, auditable clickstream and event log analytics. Helps AI agents, data scientists and analysts build, validate, and cross-check product analytics, quantitative UX, customer journeys, graph-based user flows, behavioral segmentation, A/B tests, process mining models, Markov chain simulation

Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).

Introducing a Dash web app that guides the analysis of time series datasets, using sARIMA models

AI-Powered Predictive Maintenance & Fault Diagnosis through Model Context Protocol. An open-source framework for integrating Large Language Models with predictive maintenance and fault diagnosis workflows.

Business Case Study to predict customer churn rate based on Artificial Neural Network (ANN), with TensorFlow and Keras in Python. This is a customer churn analysis that contains training, testing, and evaluation of an ANN model. (Includes: Case Study Paper, Code)

False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics

An adaptive model for prediction of one day ahead foreign currency exchange rates using machine learning algorithms

Tracking, notes and programming snippets while learning predictive analytics

A simple python wrapper over MLJAR API.

Intelligent Python service with FastAPI for real-time heart disease predictions using machine learning. Features AI-assisted consultations, user authentication, analysis history, RESTful API, and comprehensive error handling. Secure and scalable solution for healthcare applications.

⚡ Power forecasting of 💚 renewable energy power plants is a very active research field, as reliable information about the 🔮 future power generation allow for a safe operation of the power grid and helps to ⤵ minimize the operational costs of these energy sources.

📦 AI-Powered Inventory Management System with LSTM predictions, real-time analytics, and beautiful dashboard

A predictive model that uses several machine learning algorithms to predict the eligibility of loan applicants based on several factors

Edge AI and V2X proof-of-concept for predictive risk mitigation in heavy commercial vehicles using camera, GPS, telemetry, and real-time risk scoring.

⚽ Predict football match outcomes using the W-5 Multi-Agent AI Consensus Framework, achieving high accuracy with a blend of AI and machine learning techniques.

Being able to perform gameplay analysis of NBA players, NBA Predictive Analytics is a basketball coach's new best friend.

A light weight plug and play tool which can fit right in your observability stack and give valuable predictions on any of the metrics

Predictive Incident Management analyses large data sets to identify risk patterns, predict outcomes, and guide teams on effective decision-making.