kimjarabin Goto Github PK
Name: Kim M Jarabin
Type: User
Company: Oxley Objects Inc
Location: United States
Name: Kim M Jarabin
Type: User
Company: Oxley Objects Inc
Location: United States
Simple employee cost/benefit model with plots. Supports a series of blog entries.
Repo containing R code for donor churn prediction
Training exercises for Cloudera's Distribution for Hadoop
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
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.
My Personal Repository
http://DataScienceSpecialization.github.io
The Leek group guide to data sharing
This is metadata driven DLT based framework for bronze/silver pipelines
Docker Airflow - Contains a docker compose file for Airflow 2.0
Trigger webhooks from your Logitech Harmony (or other Roku ECP compatible) Universal Remote
Plotting Assignment 1 for Exploratory Data Analysis
An open source python library for automated feature engineering
Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson
Blog post Getting to a Hyperparameter-Tuned XGBoost Model in No Time: How to fine-tune your first XGBoost model in R with random search
Everything related to the iLab1 project as part of MDSI at UTS
My project for the Johns Hopkins Practical Machine Learning course in the Data Science specialization
Practical Full-Stack Machine Learning
Create a fully automated, end-to-end IRIS Training and Deployment using Azure MLOps
Examples and libraries for "Natural Language Processing in Action" book
Northwestern University PREDICT 410: Predictive Modeling I
The assignment of Machine Learning on Coursera
Repository for Programming Assignment 2 for R Programming on Coursera
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.