1. 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.
![Tutorial: Use R to predict churn - Microsoft Fabric](https://i0.wp.com/learn.microsoft.com/en-us/media/open-graph-image.png)
2. 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.
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
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4. 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.
![An analysis of activity on /r/churning - JonLuca's Blog](https://i0.wp.com/blog.jonlu.ca/images/churning-graph.png)
5. Churning Karma
Gets your comments on /r/churning from the past 3 months. Reddit only gives the last 1000 comments total so if you are a very active user, this might not be ...
Get your Churning Karma to check if you are eligible to post in the referral threads
6. Hands on Churn Prediction with R and comparison of Different Models for ...
27 jun 2020 · Using GLM, Decision Tree and Random Forest to predict Churn and compare the models with their accuracy and AUC values.
Using GLM, Decission Tree and Random Forest to predict Churn and compare the models with their accuracy and AUC values
7. Churn data set - Search in: 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.
8. Similar Subreddits To r/churning By User Overlap
Both services "speak the same language" (that language is called 'ActivityPub'), so you can view and interact with Mastodon content from Lemmy, and vice versa.
A network/graph visualisation of the top subreddits to show their relationships to one another.
9. Churn Analysis on R - LinkedIn
31 dec 2018 · Decision Tree ... method = "class" we look into class, categorical variable. ... Success Rate: 0.7907543 Not bad. ... As we saw in the graphs, month ...
I am using again another kaggle data. Link is here: First, I should present the libraries which I used.
10. Machine Learning with R: Churn Prediction | by Soner Yıldırım
The next step is to split the dataset into train and test subsets. We first create a partition and use it to split the data. Before splitting the dataset, we ...
A practical guide for R programming language
![Machine Learning with R: Churn Prediction | by Soner Yıldırım](https://i0.wp.com/miro.medium.com/v2/resize:fit:1200/1*6JTC8VgeBr7YUnm9aWg-Ow.jpeg)