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Adding Interactivity to Your Data Science Models - Getting Started with Streamlit

Offered By: Data Science Festival via YouTube

Tags

Streamlit Courses Data Science Courses Data Visualization Courses Machine Learning Courses Python Courses Cloud Computing Courses Model Deployment Courses

Course Description

Overview

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Discover how to create interactive web applications for data science and machine learning projects using Streamlit in this 38-minute talk from Data Science Festival. Learn the fundamentals of Streamlit, including app structure, widget integration, data interaction, and cloud deployment. Explore various use cases such as data visualization, model training, and predictive analytics through practical examples. Gain the knowledge needed to build and deploy your own interactive Streamlit apps, enhancing your data science and machine learning projects without requiring extensive web development skills.

Syllabus

Adding interactivity to your Data Science Models: Getting started with Streamlit


Taught by

Data Science Festival

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