Streamlit: Build Your First STREAMLIT Machine Learning Web App for your Data Science Projects
Moving your machine learning code from your Jupyter Notebook to deploy for stakeholders to access is a crucial task of every machine learning engineer. In today’s tutorial, we will start to learn how we will deploy our machine learning code from our Jupiter notebook by building an interactive web app that can be accessible by our team managers and every stakeholder.
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Before we start, please note that this tutorial is part of the Data Science Project Mastery Program, which is a practical hands-on data science tutorial for anyone to learn data science right from the basics to advance by building projects and great Data Science Portfolio. Feel free to check it out.
In order for you to make the best out of this tutorial, I have put this tutorial in the form of a video for a better understanding
Watch and work along
You can watch the entire STREAMLIT tutorials here
PLEASE WAIT A SECOND FOR THE VIDEOS BELOW TO LOAD
DEMO
Introduction: PART 1
Introduction: PART 2
Introduction: PART 3
Build Your First Streamlit App-PART 1
Build Your First Streamlit App-PART 2
Build Your First Streamlit App-PART 3
Build Your First Streamlit App-PART 4
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