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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

Code: https://github.com/codebasics/deep-learning-keras-tf-tutorial/blob/master/11_chrun_prediction/churn.ipynb
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/telco-customer-churn

Next video: https://www.youtube.com/watch?v=2osIZ-dSPGE&list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO&index=19

Previous video: https://www.youtube.com/watch?v=YmDaqXMIoeY&list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO&index=17

Deep learning playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO

Machine learning playlist : https://www.youtube.com/playlist?list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw

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DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.

Видео Customer churn prediction using ANN | Deep Learning Tutorial 18 (Tensorflow2.0, Keras & Python) канала codebasics
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7 сентября 2020 г. 20:30:10
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