TensorFlow 2.0 Tutorial for Beginners 11 - Bank Customer Satisfaction Prediction Using CNN 

In this video we will learn how to classify bank customer satisfaction prediction using CNN.In this project we are going to build a neural network to predict if a particular bank customer is satisfied or not. To do this we are going to use Convolutional Neural Networks. The dataset which we are going to use contains 370 features. We are going to use feature selection to select the most relevant features and reduce the complexity of our model.
🔊 Watch till last for a detailed description
05:01 Install TensorFlow
16:22 Remove Constant, Quasi Constant and Duplicate Features
32:02 Building CNN
43:40 Plotting the learning curve
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