Building the Frontend of Python Web Applications with Streamlit

INTERACTIVE COURSE

Building the Frontend of Python Web Applications with Streamlit

Beginner

31 Lessons

3h 25min

Certificate of Completion

AI Explanations

AI Explanations

Building the Frontend of Python Web Applications with Streamlit

46 Playgrounds

34 Illustrations

Takeaway Skills

A working knowledge of the training and testing methods for machine learning models in Python

A strong foundation in developing user interfaces (UI) using the Streamlit framework

An understanding of translating various data science libraries, including Scikit-learn, into a front-end UI

A deep familiarity with various web scraping techniques to gather various data and present it in a native web application

Hands-on experience using AssemblyAI, Streamlit, and Heroku to develop, skin, and deploy complete web applications

Course Overview

Python is the premier programming language for data science and machine learning, but its native strengths for back-end development can leave developers scrambling for a front-end solution. Enter Streamlit, a robust open-source library for developing front-end applications with Python. This course is a comprehensive introduction to building Streamlit applications integrated with different Python libraries. You’ll be walked through successive projects to create visualizations, display interactive widgets, a...Show More

Course Content

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

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

6 Lessons

7

Build a Web App to Download YouTube Videos in 30 Lines of Code

3 Lessons

8

Deploy Streamlit Apps

2 Lessons

9

Wrapping Up

2 Lessons

COURSE AUTHOR

How You'll Learn

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