A series about creating a model using Python and Tensorflow and then importing the model and making predictions using Javascript in a Vue.js application, above is the vid and below you will find some useful notes. Here, in part 2 of this series, I will take the model, the data for pre and post processing and finally predict using Vue.js. In the first post, called House price prediction 1/4: Using Keras/Tensorflow and python , I talked about how to create a model in python, pre-process a dataset I've already created, train a model, post-process, predict, and finally about creating different files for sharing some information about the data for use on the second part. Then in part 3 I will show how does one hot encoding works. And finally in part 4 normalizing the inputs and its importance. If you want to see a simpler mo