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

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

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 Carlo Markov Chain simulations, extending Pandas, Networkx and sklearn.

🌝 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

Horizontal Pod Autoscaler built with predictive abilities using statistical models

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.

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

A simple python wrapper over MLJAR API.

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

Tracking, notes and programming snippets while learning predictive analytics

Portable Format for 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?

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

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

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

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

R wrapper for MLJAR API

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

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

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

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

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.

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)