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

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

Python AutoML for Trading Systems and Sports Betting

🌝 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.

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.

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

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.

R package for Customer Behavior Analysis

Machine Learning - Linear Regression_Ecommerce_Prediction

The solution to the Loan Prediction Practice Problem on Analytics Vidhya (https://datahack.analyticsvidhya.com/contest/practice-problem-loan-prediction-iii/)

Tracking, notes and programming snippets while learning predictive analytics

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?

Horizontal Pod Autoscaler built with predictive abilities using statistical models

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)

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

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

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.

PANDORA - Predictive Analytics aNd Data Oriented Research Applications 💻