Artificial Neural Network: We have already gone through basics of Artificial Neural Network algorithm. In the section we will develop an ANN algorithm framework while working on Churn model in python.
There are few basic libraries required before we start working on ANN algorithm. Please install all the below mentioned libraries.
Once we are done with installation of libraries mentioned above we will start with data pre-processing and finally implementation of ANN.
Step 1: Importing the libraries
Step 2: Importing the data set
Step 3: Encoding categorical data
Step 4: Splitting the data set into the Training set and Test set
Step 5: Feature Scaling
Step 6: Importing the Keras libraries and packages for ANN
Step 7 Initializing the ANN and addition of hidden and output layer
Step 8: Predicting the Test set results and making the confusion matrix