Customer churn prediction using ANN | Deep Learning Tutorial 18 (Tensorflow2.0, Keras & Python)

Pubblicato il: 01 gennaio 1970
sul canale di: codebasics
194,617
3.6k

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://codebasics.io/?utm_source=des... 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 Pos...  

Previous video:    • GPU bench-marking with image classifi...  

Deep learning playlist:    • Deep Learning With Tensorflow 2.0, Ke...  

Machine learning playlist :    • Machine Learning Tutorial Python | Ma...  

#️⃣ 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'.


In questa pagina del sito puoi guardare il video online Customer churn prediction using ANN | Deep Learning Tutorial 18 (Tensorflow2.0, Keras & Python) della durata di ore minuti seconda in buona qualità , che l'utente ha caricato codebasics 01 gennaio 1970, condividi il link con amici e conoscenti, su youtube questo video è già stato visto 194,617 volte e gli è piaciuto 3.6 mille spettatori. Buona visione!