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. How to Make a Churn Model in R - Luke Singham
The following post details how to make a churn model in R. It was part of an interview process for which a take home assignment was one of the stages. The ...
The following post details how to make a churn model in R. It was part of an interview process for which a take home assignment was one of
4. Project: Modeling & Predicting of Churning Customers (in R)
31 dec 2020 · Features & Predictor: · CLIENTNUM — (Feature, dbl,continuous) Client Number · Customer_Age — (Feature, int,continuous) Age of the Customer ...
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5. Similar Subreddits To r/churning By User Overlap
A score of 1 means that users of r/churning are no more likely to frequent that subreddit than the average reddit user. A score of 0 means that users of r/ ...
A network/graph visualisation of the top subreddits to show their relationships to one another.
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6. 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.
7. 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.
8. Churn Analysis – Part 1: Model Selection - R-bloggers
3 jan 2018 · To simulate an experiment where we want to predict if our customers will churn, we need to work with a partitioned database. The database has 2 ...
Hello everyone, Today we will make a churn analysis with a dataset provided by IBM. You can find the dataset here. What is a churn? We can shortly define customer churn (most commonly called “churn”) as customers that stop doing business with a company or a service. There are customer ...
9. Hands on Churn Prediction with R and comparison of Different Models for ...
27 jun 2020 · Decission Tree · Comparing accuracy and AUC value, Logistic Model performs better than Random Forest and Decision Tree to predict churn in this ...
Using GLM, Decission Tree and Random Forest to predict Churn and compare the models with their accuracy and AUC values
10. 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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