Learn Streamlit Python | Data Science Online Course by Udemy

Development Online Course by Udemy, On Sale Here

Create Beautiful Data Apps and Machine Learning Web Apps In Python Faster with Streamlit

An excellent training about Data Science

Learn Streamlit Python

Are you having difficulties trying to build web applications for your data science projects? Do you spend more time trying to create a simple MVP app with your data to show your clients and others? Then let me introduce you to Streamlit – a python framework for building web apps. Welcome to the coolest online resource for learning how to create Data Science Apps and Machine Learning Web Apps using theawesome Streamlit Framework and Python. This course will teach you Streamlit – the python framework that saves you from spending days and weeks in creatingdata science and machine learning web applications. In this course we will cover everything you need to know concerning streamlit such asFundamentals and the Basics of Streamlit; – Working with Text- Working with Widgets (Buttons, Sliders- Displaying Data- Displaying Charts and Plots-Working with Media Files (Audio, Images, Video)- Streamlit Layouts- File Uploads- Streamlit Static ComponentsCreating cool data visualization appsHow to Build A Full Web Application with StreamlitBy the end of this exciting course you will be able to Build data science apps in hours not daysProductionized your machine learning models into web apps using streamlitBuild some cools and fun data appsDeploy your streamlit apps using Docker, Heroku, Streamlit Share and moreJoin us as we explore the world of building Data and ML Apps. See you in the Course, Stay blessed. Tips for getting through the coursePlease write or code along with us do not just watch, this will enhance your understanding. You can regulate the speed and audio of the video as you wish, preferably at -0.75x if the speed is too fast for you. Suggested Prerequisites is understanding of PythonThis course is about Streamlit an ML Framework to create data apps in hours not weeks. We will try our best to cover some concepts for the beginner and the pro.

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