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    Home»Development»Complete Guide to Data Science Applications with Streamlit
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    Complete Guide to Data Science Applications with Streamlit

    adminBy adminAugust 24, 2022Updated:August 28, 2022No Comments1 Min Read
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    Complete Guide to Data Science Applications with Streamlit - Online Course Download
    Complete Guide to Data Science Applications with Streamlit - Online Course Download
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    Data Science free online course free udemy paid course freecourse freecoursesite Streamlit udemy course download udemy free download

    What you'll learn :

    Building Data Applications with Streamlit
    Integrating Matptlotlib & Seaborn in Streamlit
    Plotly Visualizations in Streamlit
    Authenticating Streamlit Applications
    Deploying Streamlit Applications
    Using Streamlit Components
    Altair Visualizations in Streamlit

    Requirements :

    Basic Python Programming, however, a Python crash course is included

    Description :

    Analyzing data and building machine learning models is one thing. Packaging these analyses and models such that they are sharable is a different ball game altogether.

    This course aims at teaching you the fastest and easiest way to build and share data applications using Streamlit. You don’t need any experience in building front-end applications for this. Here are some of the things you can expect to cover in this course:

    Python Crash Course

    NumPy Crash Course

    Introduction to Streamlit

    Integrating Matplotlit and Seaborn in Streamlit

    Using Altair and Vega-Lite in Streamlit

    Understand all Streamlit Widgets

    Upload and Process Files

    Build an Image Processing Application

    Develop a Natural Language Processing Application

    Integrate Maps with Streamlit

    Implement Plotly Graphs

    Authenticate Your Applications

    Laying Out your Application in Streamlit

    Developing with Streamlit Components

    Deploying Data Applications

    Who this course is for :

    Individuals interested in building data science and machine learning applications in Python

    Course Size Details :

    9.5 hours on-demand video
    4 articles
    2 downloadable resources
    Full lifetime access
    Access on mobile and TV
    Certificate of completion

    View Demo

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