Customer Churn Prediction using ANN | Keras and Tensorflow | Deep Learning Classification

Customer Churn Prediction using Artificial Neural Networks (ANN) involves building a model to forecast whether a customer is likely to leave or continue using a service. The ANN learns from historical data, considering factors like usage patterns, customer interactions, and feedback to make predictions.

Digital Notes for Deep Learning: https://shorturl.at/NGtXg

Code - https://www.kaggle.com/campusx/notebo...

============================
Do you want to learn from me?
Check my affordable mentorship program at : https://learnwith.campusx.in
============================

📱 Grow with us:
CampusX' LinkedIn:   / campusx-official  
CampusX on Instagram for daily tips:   / campusx.official  
My LinkedIn:   / nitish-singh-03412789  
Discord:   / discord  
E-mail us at support@campusx.in

👍If you find this video helpful, consider giving it a thumbs up and subscribing for more educational videos on data science!

💭Share your thoughts, experiences, or questions in the comments below. I love hearing from you!

✨ Hashtags✨
#CustomerChurn #ANN #PredictiveAnalytics #CustomerRetention #MachineLearning #DataScience #BusinessAnalytics #neuralnetworks

⌚Time Stamps⌚

00:00 - Intro
02:22 - The Dataset
03:28 - Code Demo
17:49 - Neural Network Architecture
32:45 - Training error reduction plot
34:40 - Outro