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    Python Machine Learning Model Production by Django & Heroku

    Posted By: IrGens
    Python Machine Learning Model Production by Django & Heroku

    Python Machine Learning Model Production by Django & Heroku
    .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 53m | 315 MB
    Instructor: Leon Wei

    Transform your model into an API service, learn to become a full stack data scientist

    What you'll learn

    Python Machine learning model production with Django
    Using Django to create RESTful API endpoint to service a Machine learning model
    Building a real machine learning model, and deploy it into production
    Basic Django skills
    Sentiment analysis model
    Python machine learning
    Scikit-learn
    Basic Natural Language Processing: converting textual data into word-frequency matrix

    Requirements

    Basic understanding of Python and Django
    A Mac or a Linux/Unix based computer

    Description

    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.

    You will learn the following, step by step

    Set 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.

    Prerequisites

    An 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 machine learning will use scikit-learn, a python library, to build a classification model.

    Who this course is for:

    Data scientists who want to become full stack
    Data scientists who want to become more productive
    Python beginners who wants to build a machine learning model


    Python Machine Learning Model Production by Django & Heroku