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

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

🌝 Lottery prediction using GA+BF ANN+FL(GeneticAlogrithm+ArtificalNeuralNetwork+FuzzyLogicControl) based on SciPy/NumPy/matplotlib/R/SAS/TensorFlow/Keras

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, machine learning, and Monte Carlo Markov Chain simulations framework over Pandas, Networkx and sklearn.

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).

Horizontal Pod Autoscaler built with predictive abilities using statistical models

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

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 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?

Portable Format for Analytics

Tracking, notes and programming snippets while learning predictive analytics

A Minimalistic Framework for Creating, Managing and Training Multiple Caret Models

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

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

R wrapper for MLJAR API

Nanodegree programs https://www.udacity.com/nanodegree

DatScan is an initiative to build an open-source CMS that will have the capability to solve any problem using data Analysis just with the help of various modules and a vast standardized module library

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

The official class webpage for Statistics 422/722 taught at Wharton in the Spring of 2017

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

DJIA index prices of 10 years and NYtimes news articles headline has been used to predict the DJIA index prices

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

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

Using predictive analytics to determine if a movie will have a high rating on IMDb