This is an application of Keras Sequential model on the Churn Modeling data set. Objective was to develop an end to end model to train the model+ also the steps to preprocess the test data to align it in the same shape as that of the train data set. The entire model can be used as a learning step to develop an deep Learning ML model using all the good stuffs from Scikit Learn (Pipelines, Feature extraction and Hyper parameter tuning).
