predictive-analytics

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

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

Retentioneering: product analytics, data-driven customer journey map optimization, marketing analytics, web analytics, transaction analytics, graph visualization, and behavioral segmentation with customer segments in Python. Opensource analytics, predictive analytics over clickstream, sentiment analysis, AB tests, machine learning, and Monte Car…

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

Horizontal Pod Autoscaler built with predictive abilities using statistical models

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

🌝 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.

R package for Customer Behavior Analysis

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

💹 PANDORA: Revolutionizing Biomedical Research with Advanced Machine Learning for Data Integration, Analysis, and Insightful Discoveries in Health and Disease 💻

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.

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

A High-Performance Data Science Toolkit for the Earth Sciences

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

A simple python wrapper over MLJAR API.

A Data science and Analytics project with the main aim of doing some Descriptive and Exploratory Data Analysis and then applying predictive modelling for predicting why and which are the best and most experienced employees leaving prematurely?

Predict stock market pricing over 180 minutes using Black-Scholes stochastic modeling and parallel Monte-Carlo simulations.

Tracking, notes and programming snippets while learning predictive analytics

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