Python Machine Learning Model Production by Django & Heroku

About this course

Have you had to beg your manager or engineer teammates to reprioritize their work to help you launch your fantastic machine learning model?But they said no.Have you ever wondered how a modern recommendation engine push recommended movies for your personal experience?You are in the right place.This 1-hour course gives all you need to create an end-to-end machine learning modeling pipeline.And you will never need to rely on others to help you productionizing your model again.It will significantly enhance your job security in this challenging time, to become a full-stack data scientist.You will learn the following, step by stepSet up your local development environment.Train a sentimental prediction model using movie review data with Scikit-learn.Fine-tune the parameters and benchmark the results.Convert textual data into a word frequency matrix.Persist the model that performs the best, create a RESTful API endpoint with Django and deploy it into a productionized environment onto Heroku.Test the API from your browser and curl.After deploying it to the cloud, your model can serve the whole internet.You can use the same framework to serve other models.Other people and teams can easily consume your model results by making API calls.Significantly improve your productivity and job security as a data scientist.PrerequisitesAn Apple computer (aka a MAC) or a UNIX/Linux based machine, as everything is recorded on a MAC, if you are using a Windows machine, you may not get the most benefit from this tutorial;A basic understanding of Python and machi