Customer churn prediction using ANN | Deep Learning Tutorial 18 (Tensorflow2.0, Keras & Python)
In this video we will build a customer churn prediction model using artificial neural network or ANN. Customer churn measures how and why are customers leaving the business. WE will use telecom customer churn dataset from kaggle (link below) and build a deep learning model for churn prediction. We will also understand precision,recalll and accuracy of this model by using confusion matrix and classification report #customerchurnprediction #customerchurn #customerchurnpredictionusingANN #ANN #deeplearningANN #deeplearningtutorial Do you want to learn technology from me? Check https://resources.codebasics.io/D7bXAR for my affordable video courses. Code: https://github.com/codebasics/deep-le... Exercise: For exercise go at the end of above notebook. There is a link to kaggle dataset and exercise description Dataset: https://www.kaggle.com/blastchar/telc... Next video: • Precision, Recall, F1 score, True Positive... Previous video: • GPU bench-marking with image classificatio... Deep learning playlist: • Deep Learning With Tensorflow 2.0, Keras a... Machine learning playlist : • Machine Learning Tutorial Python | Machine... #️⃣ Social Media #️⃣ 🔗 Discord: / discord 📸 Dhaval's Personal Instagram: / dhavalsays 📸 Instagram: / codebasicshub 🔊 Facebook: / codebasicshub 📝 Linkedin (Personal): / dhavalsays 📝 Linkedin (Codebasics): / codebasics 📱 Twitter: / codebasicshub 🔗 Patreon: https://www.patreon.com/codebasics?fa... DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.
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