predictive-analytics

Python AutoML for Trading Systems and Sports Betting

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

Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.

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.

Launch machine learning models into production using flask, docker etc.

R package for Customer Behavior Analysis

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

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.

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.

Framework for developing low-code/no-code payroll solutions focused on automation, scalability and testability.

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

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.

Machine Learning - Linear Regression_Ecommerce_Prediction

Crypto Wallets for Me. this.wallet structures financial data for seamless interactions within your wallet, enabling machine learning-driven analysis, and intelligent processing of transactions, balances, and financial insights.

This repository provides the code examples for the corresponding blog posts. In case you have questions, feel free to contact me directly.