Create a sample for notebook to Kubeflow deployment using TensorFlow 2.0 Keras

Kubernetes is already an industry-standard in managing cloud resources. Kubeflow is on its path to become an industry standard in managing machine learning workflows on cloud. Examples that illustrate Kubeflow functionalities using latest industry technologies make Kubeflow easier to use and more accessible to all potential users. This project aims at building a sample for Jupyter notebook to Kubeflow deployment with a sentiment analysis model built with Tensorflow 2.0 Keras, illustrating Customer User Journey in the process. This project also serves as an hands-on to large scale application of Machine Learning and this is what excites me the most about it.