morpher6 Goto Github PK
Name: Peter Kuzma
Type: User
Name: Peter Kuzma
Type: User
The biggest collection of R books (and maybe later some other resources too)
Bitstamp REST API php client
฿ Bitcoin trading bot with a real-time dashboard for Bitstamp.
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Super fast technical analysis tools, trading gym environment and API wrapper for bitstamp
In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It is also referred as loss of clients or customers. Customer loyalty and customer churn always add up to 100%. If a firm has a 60% of loyalty rate, then their loss or churn rate of customers is 40%. As per 80/20 customer profitability rule, 20% of customers are generating 80% of revenue. So, it is very important to predict the users likely to churn from business relationship and the factors affecting the customer decisions. We are going to show how logistic regression model using R can be used to identify the customer churn in the telecom dataset.
This is my Data Science repository
The Leek group guide to data sharing
Modern JavaScript Tutorial
Example Machine Learning Scripts for Numerai's Tournament
Plotting Assignment 1 for Exploratory Data Analysis
This is the development site for Hands-On Programming with R, a book that teaches how to program in R, with hands-on examples. Read the book at https://rstudio-education.github.io/hopr.
Python codes for common Machine Learning Algorithms
ML
MariaDB 10.1 Galera cluster on Ubuntu 14.04
Machine Learning Tutorial in IPython Notebooks
Automatically exported from code.google.com/p/php-dynamics-crm-2011
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Python Data Science Handbook: full text in Jupyter Notebooks
Shelly Scripts for Gen2 Shelly devices
Text and supporting code for Think Stats, 2nd Edition
Manuscript of the book "Tidy Text Mining with R" by Julia Silge and David Robinson
Learning Python through test-driven development of games and puzzles
Example R scripts and data for "Practical Data Science with R" by Nina Zumel and John Mount (Manning Publications)
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.