Pinned Repositories
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
kimjarabin's Repositories
kimjarabin/churn_prediction
Repo containing R code for donor churn prediction
kimjarabin/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
kimjarabin/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.
kimjarabin/data_sandbox
kimjarabin/dlt-meta
This is metadata driven DLT based framework for bronze/silver pipelines
kimjarabin/docker-airflow
Docker Airflow - Contains a docker compose file for Airflow 2.0
kimjarabin/EcpEmuServer
Trigger webhooks from your Logitech Harmony (or other Roku ECP compatible) Universal Remote
kimjarabin/Feature-Engineering-Live-sessions
kimjarabin/featuretools
An open source python library for automated feature engineering
kimjarabin/FES
Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson
kimjarabin/Finding-an-Outlier
kimjarabin/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
kimjarabin/https-raw.githubusercontent.com-maxg203-Python-for-Beginners-master-shakespeare.txt
kimjarabin/iLab1
Everything related to the iLab1 project as part of MDSI at UTS
kimjarabin/machine-learning
Practical Full-Stack Machine Learning
kimjarabin/Machine-Learning-in-90-days
kimjarabin/MachineLearning
kimjarabin/MLOps-IRIS
Create a fully automated, end-to-end IRIS Training and Deployment using Azure MLOps
kimjarabin/nlpia
Examples and libraries for "Natural Language Processing in Action" book
kimjarabin/notebooks
kimjarabin/predict410
Northwestern University PREDICT 410: Predictive Modeling I
kimjarabin/py
Repository to store sample python programs for python learning
kimjarabin/Python_UMich
Python for Everybody Specialization @ Coursera - Fall 2015/2016
kimjarabin/statistics_multi
Repo for the course Applied multivariate statistics
kimjarabin/statistics_with_python
Statistics and Probability with Python for Everyone
kimjarabin/swirl_courses
A collection of interactive courses for the swirl R package.
kimjarabin/tickit-data-lake-demo
Resources for video demonstrations and blog posts related to DataOps on AWS
kimjarabin/tutorials
kimjarabin/WhatsAppR
R Package with functions for importing and analysing WhatsApp chat histories
kimjarabin/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow