100 Days of Deep Learning - 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. Notes: https://learnwith.campusx.in/s/store/courses/YouTube%20Notes Code - https://www.kaggle.com/campusx/notebook8ad570467f ============================ Do you want to learn from me? Check my affordable mentorship program at : https://learnwith.campusx.in ============================ 📱 Grow with us: CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789 Discord: https://discord.gg/PsWu8R87Z8 E-mail us at [email protected] 👍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