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اسم:Udemy - Complete Guide to Data Science Applications with Streamlit
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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

At the end of the course, you will have built several applications that you can include in your data science portfolio. You will also have a new skill to add to your resume.

The course also comes with a 30-day money-back guarantee. Enroll now and if you don’t like it you will get your money back no questions asked.
Who this course is for:

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

Requirements

   Basic Python Programming, however a Python crash course is included

Last Updated 12/2020
يوتيوب فيديو:
الفئة:Tutorials
اللغة:English  English
إجمالي حجم:4.33 GB
تجزئة المعلومات:8F0B5E1F3F1F0800A003F8E2B87F98780B5AC026
وأضاف بها:tutsnode Verified UploaderVIP
تاريخ الإضافة:2021-01-08 00:07:22
سيل مركز:Torrent Verified


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