kimjarabin Goto Github PK

churn201

Simple employee cost/benefit model with plots. Supports a series of blog entries.

churn_prediction

Repo containing R code for donor churn prediction

cloudera-training

Training exercises for Cloudera's Distribution for Hadoop

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

customer_churn_analysis

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.

data_sandbox

datasciencecoursera

My Personal Repository

datasciencespecialization.github.io

http://DataScienceSpecialization.github.io

datasharing

The Leek group guide to data sharing

dlt-meta

This is metadata driven DLT based framework for bronze/silver pipelines

docker-airflow

Docker Airflow - Contains a docker compose file for Airflow 2.0

ecpemuserver

Trigger webhooks from your Logitech Harmony (or other Roku ECP compatible) Universal Remote

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

feature-engineering-live-sessions

featuretools

An open source python library for automated feature engineering

fes

Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson

finding-an-outlier

getting-to-a-hyperparameter-tuned-xgboost-model-in-no-time

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

https-raw.githubusercontent.com-maxg203-python-for-beginners-master-shakespeare.txt

ilab1

Everything related to the iLab1 project as part of MDSI at UTS

jhi-practical-machine-learning

My project for the Johns Hopkins Practical Machine Learning course in the Data Science specialization

machine-learning

Practical Full-Stack Machine Learning

machine-learning-in-90-days

machinelearning

mlops-iris

Create a fully automated, end-to-end IRIS Training and Deployment using Azure MLOps

nlpia

Examples and libraries for "Natural Language Processing in Action" book

notebooks

predict410

Northwestern University PREDICT 410: Predictive Modeling I

prediction-assignment-writeup

The assignment of Machine Learning on Coursera

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera