pedrobf777 Goto Github PK
Name: pedro
Type: User
Name: pedro
Type: User
Arbitrage Alert scanner. Scans odds across Betfair, Pinnacle, William Hill, bet365, Bookmaker, BetOnline, The Greek Sportsbook, JustBet, SportsInteraction, WagerWeb, 5Dimes
Scrapes Betfair price data (BSP, WAP etc) for Australian horse racing
For the last few years Betfair is losing too many customers and is finding a solution to retain its customers. Aim of this project is to build a customer churn model to predict the customers who are about to get churned so that Betfair can implement different business strategies to retain those customers before they actually leave. The tools I am using for this analysis are R-studio and Tableau. Package mlr was chosen as the modeling package. The data for the purpose of prediction was provided by Betfair. After proper data exploration and visualization, important features for the customer churn prediction model was identified. The 8 different classification models were applied on the data in separate steps of configuring the learner task, making the learner, training the learner, prediction and performance evaluation. Out of the 8 different models, Random Forest was chosen as the best model. Cross-validation was done using random forest was done and obtained a mean miss classification error rate of 0.1278126. Hyper-parametric tuning of the random forest model was performed using package mlrHyperopt. There was only 0.05% improvement in the model accuracy after Hyper-parametric tuning. The model obtained is good enough to predict the customers who are about to fall in the churned customer category. Applying this model on the real-time data in Betfair can save huge money in revenue.
Spark Standalone (on Docker)
flūmine - Betfair data record framework utilising streaming to create a simple data recorder
Google Cloud & NCAA® ML Competition 2018-Men's (and some odds retrival from the BetFair API)
Chance of winning based on the Betfair betting market
Cryptocurrency Trading Bot Development Framework for the Binance exchange. Follow open NBT trading signals at
Analysis of Betfair's dataset of all betting transactions during the 2015 Cricket World Cup
Want to play the markets on Betfair with a simple Python API?
Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:]
racing
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
Online trading using Artificial Intelligence Machine leaning with basic python on Indian Stock Market, trading using live bots indicator screener and back tester using rest API and websocket 😊
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.