1. churning.rankt.com | /r/churning tools by rankt
This part of rankt was developed for the reddit community https://www.reddit.com/r/churning. Post your referrals at /r/churningreferrals.
2. Tutorial: Use R to predict churn - Microsoft Fabric
7 feb 2024 · This tutorial shows a data science work flow in R, with an end-to-end example of building a model to predict churn.
This tutorial shows a data science work flow in R, with an end-to-end example of building a model to predict churn.
3. An analysis of activity on /r/churning - JonLuca's Blog
31 aug 2019 · r/churning is a subreddit dedicated to maximizing credit rewards and travel hacking. The subreddit has a fairly unique template for activity ...
/r/churning is a subreddit dedicated to maximizing credit rewards and travel hacking. The subreddit has a fairly unique template for activity that is fairly distinct from the rest of reddit - discussions are mostly siloed in weekly threads, with only the rare top level post. I thought it would be interesting to run an analysis of user behavior and activity in the sub, as well as find patterns in the distribution of content.
4. Churn Analysis on R - LinkedIn
31 dec 2018 · The most successfull model is logistic regression. It surpass the other high quality machine learning algorithms.
I am using again another kaggle data. Link is here: First, I should present the libraries which I used.
5. churn function - RDocumentation
Customer churn occurs when customers stop doing business with a company, also known as customer attrition. The data set contains 3333 rows (customers) and 20 ...
The data can be downloaded from IBM Sample Data Sets. Customer churn occurs when customers stop doing business with a company, also known as customer attrition. The data set contains \(3333\) rows (customers) and \(20\) columns (features). The "Churn" column is our target which indicate whether customer churned (left the company) or not.
6. People Analytics Using R - Employee Churn
Build The Model. This step really means, after you have defined the HR business problem or goal you are trying to achieve, you pick a data mining approach/tool ...
Written by our guest blogger: Lyndon Sundmark, MBA People (HR) Analytics Consultant / Data Scientist Introduction This is the second is a series of blog articles on using R for doing People Analytics. The first was my last article: https://www.linkedin.com/pulse/people-analytics-example-using-r-lyndon-sundmark-mba?trk=prof-post It gave an example of People Analytics being applied to absenteeism data. Lets now take a […]
7. Churn Prediction - RPubs
Sign In. Username or Email. Password. Forgot your password? Sign In Cancel. RPubs. by RStudio. Sign in Register. Description of dataset. Analyses of the data.
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8. Churn data set - R
Customer churn occurs when customers stop doing business with a company, also known as customer attrition. The data set contains 5000 5000 5000 rows (customers) ...
This dataset comes from IBM Sample Data Sets. Customer churn occurs when customers stop doing business with a company, also known as customer attrition. The data set contains 5000 rows (customers) and 20 columns (features). The "Churn" column is our target which indicate whether customer churned (left the company) or not.
9. Reddit Churning - IFTTT
For any new posts on r/churning Reddit Any new post in subreddit. Notifications Send a notification from the IFTTT app.
For any new posts on r/churning
10. A Tutorial on People Analytics Using R – Employee Churn - AIHR
This step-by-step HR analytics tutorial demonstrates how employee churn analytics can be applied in R to predict which employees are most likely to quit.
This step-by-step HR analytics tutorial demonstrates how employee churn analytics can be applied in R to predict which employees are most likely to quit. In this article, we use descriptive analytics to understand the data and patterns, and then use decision trees and random forests algorithms to predict future churn.
11. churning.rankt.com | /r/churning | Referrals
Post your referrals at /r/churningreferrals. Filter Cards Reddit User Search by Reddit user Account Type Charge Card Checking Account Credit Card Other Savings ...
12. Predict Customer Churn with Gradient Boosting - R-bloggers
2 jul 2018 · This post shows that gradient boosting is the most accurate way of predicting customer attrition. I'll show you how you can create your own data analysis using ...
- Customer churn is a key predictor of the long term success or failure of a business. But when it comes to all this data, what’s...
