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Building the Frontend of Python Web Applications with Streamlit
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1.
Introduction
Streamlit Overview
2.
Build a UI for a Model Using Streamlit
Prerequisites and Required Libraries
Build a Logistic Regression Model
Build the DataFrame and Model Performance UI with Streamlit
Build User Input UI with Streamlit
Exercise 1: Build UI for Candy Bar Prediction
Solution: Build UI for Candy Bar Prediction
Project
Premium
Sentiment Analysis Using Multinomial Logistic Regression
3.
Build a Classification Web App using Streamlit and Sklearn
Prerequisites and Required Libraries
Classification using SVM, KNN, RandomForestClassifier, and PCA
Building UI using Streamlit
Exercise 2: Plot Evaluation Metrics using Streamlit
Solution: Plot Evaluation Metrics using Streamlit
4.
Build a Streamlit App to Scrape Github Profiles
Prerequisites and Required Libraries
Web Scraping using Beautiful Soup
Streamlit Scraping Application
5.
Build a Web App to Transcribe Audio using Python and AssemblyAI
Prerequisites and Required Libraries
Transcribing a Local Audio File using AssemblyAI
Building the Streamlit UI
6.
Build a Web App to Generate and Display a Word Cloud of Trending
Prerequisites and Required Libraries
Acquiring the Data
Creating Word Clouds
Streamlit App for Word Clouds
Exercise 3: Change the Word Cloud's Properties using Streamlit
Solution: Change the Word Cloud's Properties using Streamlit
7.
Build a Web App to Download YouTube Videos in 30 Lines of Code
Prerequisites and Required Libraries
Data Collection and Understanding the Stream Object
Streamlit Videos Downloading Application
8.
Deploy Streamlit Apps
Deployment using Streamlit Sharing
Deployment using Heroku
9.
Wrapping Up
Quiz on Streamlit UI Components
Conclusion
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Building the Frontend of Python Web Applications with Streamlit
Quiz on Streamlit UI Components
Let’s test our knowledge of Streamlit UI elements with the quiz below.
We'll cover the following...
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