copy and paste this google map to your website or blog!
Press copy button and paste into your blog or website.
(Please switch to 'HTML' mode when posting into your blog. Examples: WordPress Example, Blogger Example)
Input Form:Deal with this potential dealer,buyer,seller,supplier,manufacturer,exporter,importer
(Any information to deal,buy, sell, quote for products or service)
customer-churn-prediction · GitHub Topics · GitHub In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV I have also implemented the Random Forest model to predict if a customer is going to churn and deployed a model using the flask web app
Are you answering the right churn questions? - Towards Data Science To answer the question of who will churn within a given timeframe, we frame the problem as a classification problem with a binary outcome This means, we can use the target variable we defined and simply build a binary classification model
Data Analysis By using the STAR method to answer the following Data Analysis interview questions, you'll provide compelling, well-structured responses that effectively highlight your skills and experiences
customer-churn-analysis · GitHub Topics · GitHub A Python-based project for analyzing customer churn using data visualization and machine learning models to predict churn probability Employs libraries like Pandas, Scikit-learn, and Matplotlib for data preprocessing, model training, and insightful visualizations
Top 20 STAR Interview Questions and Answers in 2025 Interviewers normally use this format to gather as much information as possible about your capability for a given role This article will look at some behavioral questions that you should expect in interviews and guide you on answering them using the STAR technique
End-End Churn Analysis Portfolio Project – pivotalstats In today’s competitive business environment, retaining customers is crucial for long-term success Churn analysis is a key technique used to understand and reduce this customer attrition It involves examining customer data to identify patterns and reasons behind customer departures