predictive-analytics

Python AutoML for Trading Systems and Sports Betting

A microservices-based Streaming and Batch data processing in Cloud Foundry and Kubernetes

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

Git-native executable catalog for agentic data work.

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

Horizontal Pod Autoscaler built with predictive abilities using statistical models

🌝 Lottery prediction besides of following "law of proability","Probability: Independent Events", there are still "Saying "a Tail is due", or "just one more go, my luck is due to change" is called The Gambler's Fallacy" existed.

Data-Analyst-Roadmap for Professionals. This roadmap contains 8 Chapters that can be completed in 8 weeks, whether you are a fresher in the field or an experienced professional who wants to transition into Data Analysis.

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

R package for Customer Behavior Analysis

PANDORA 💻

Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to anticipate the purchases that will be made by a new customer, during the following year from its first purchase.

Machine-learning code and data for predicting U.S. Supreme Court justice votes and case outcomes from 1953–2013.

An open-source MCP server that turns LLMs into condition monitoring assistants for reliability engineers. It gives your AI assistant evidence-based vibration diagnostics: machine fault detection, severity assessment and diagnostic reports, for faster predictive maintenance decisions. Also available as a Claude Code plugin.

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

Machine Learning - Linear Regression_Ecommerce_Prediction

A High-Performance Data Science Toolkit for the Earth Sciences

A machine learning plugin for Elasticsearch providing aggregations to compute multiple linear regression on search results in real-time for predictive analytics.

This program predicts the price of GOOG stock for a specific day using the Machine Learning algorithm called Support Vector Regression (SVR) Linear Regression. Importing flask module in the project is mandatory An object of Flask class is our WSGI application.