There are 26 repositories under predictive-analytics topic.
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
:full_moon_with_face: 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.
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.
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.
Framework for developing low-code/no-code payroll solutions focused on automation, scalability and testability.
A machine learning plugin for Elasticsearch providing aggregations to compute multiple linear regression on search results in real-time for predictive analytics.
Introducing a Dash web app that guides the analysis of time series datasets, using sARIMA models
This repository provides the code examples for the corresponding blog posts. In case you have questions, feel free to contact me directly.
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?
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)
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.
Machine Learning - Linear Regression_Ecommerce_Prediction
Tracking, notes and programming snippets while learning predictive analytics
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
A simple python wrapper over MLJAR API.
An adaptive model for prediction of one day ahead foreign currency exchange rates using machine learning algorithms
The solution to the Loan Prediction Practice Problem on Analytics Vidhya (https://datahack.analyticsvidhya.com/contest/practice-problem-loan-prediction-iii/)
Portable Format for Analytics
A Minimalistic Framework for Creating, Managing and Training Multiple Caret Models
A predictive model that uses several machine learning algorithms to predict the eligibility of loan applicants based on several factors
Nanodegree programs https://www.udacity.com/nanodegree
Analyse academic and non-academic information of students and predict grades
⚡ Power forecasting of 💚 renewable energy power plants is a very active research field, as reliable information about the 🔮 future power generation allow for a safe operation of the power grid and helps to ⤵ minimize the operational costs of these energy sources.
DJIA index prices of 10 years and NYtimes news articles headline has been used to predict the DJIA index prices