Customer churn prediction using ANN | 86% Accuracy | Deep Learning Project | Plotly Visulization

Resources and Code: Find the full project code here: https://www.kaggle.com/code/codingloading/hindi-video-churn-prediction-vanilla-ann Download the dataset here: https://www.kaggle.com/datasets/rjmanoj/credit-card-customer-churn-prediction/data 🔍 Customer Churn Prediction using ANN | 86% Accuracy | Deep Learning Project | Plotly Visualization In this video, we dive into a credit card churn prediction project using Artificial Neural Networks (ANN). Churn prediction is crucial for businesses to retain valuable customers, and deep learning provides an efficient way to identify potential churners. 🔹 What You'll Learn: ✅ Understanding customer churn and its impact on businesses ✅ Preprocessing customer data for training ✅ Building an ANN model for churn prediction ✅ Achieving 86% accuracy with deep learning ✅ Interactive Plotly visualizations for better insights 📌 Technologies Used: 🔸 Python, TensorFlow/Keras for ANN 🔸 Pandas & Scikit-learn for data processing 🔸 Plotly for interactive visualizations If you find this video helpful, don't forget to Like, Share, and Subscribe! 👍 💬 Got questions? Drop them in the comments! 🚀 SEO Keywords- #CustomerChurn #ChurnPrediction #DeepLearning #MachineLearning #ANN #ArtificialNeuralNetwork #CreditCardChurn #DataScience #Python #TensorFlow #Keras #AI #PredictiveAnalytics #Plotly #Visualization #BusinessAnalytics #CustomerRetention #BigData #DeepLearningProject #MLProject #AIProject #DataScienceProject