Google Colab Link : https://colab.research.google.com/drive/1g75oU8FQG8cRXMmSVZyBpPKR8TcbVHhh?usp=sharing
Performed ANN on Churn_Modelling.csv . Trained the data whether a person with creditcard score , gender , age , salary etc will leave the bank or not . Attained 86 percentage accuracy .
-> Importing the libraries
-> Importing the dataset
-> Encoding categorical data
-> Splitting the dataset into the Training set and Test set
-> Feature Scaling
-> Building the ANN
-> Training the ANN
-> Training the ANN on the Training set
-> Making the predictions and evaluating the model
-> Predicting the Test set results
-> Making the Confusion Matrix