| 001 Intro to Creating a Single Paged Web App.en.srt | 614.4 B | ||
| 001 Intro to Creating a Single Paged Web App.mp4 | 13.8 MB | ||
| 001 Introduction And Setting up Streamlit.en.srt | 9.1 KB | ||
| 001 Introduction And Setting up Streamlit.mp4 | 33.2 MB | ||
| 001 Introduction to the Learn Streamlit Python from Scratch Course.en.srt | 2.3 KB | ||
| 001 Introduction to the Learn Streamlit Python from Scratch Course.mp4 | 46 MB | ||
| 001 Overview on our Multi Paged Web app.en.srt | 2 KB | ||
| 001 Overview on our Multi Paged Web app.mp4 | 16.6 MB | ||
| 002 Overview on Structuring our Streamlit Web App.en.srt | 1.5 KB | ||
| 002 Overview on Structuring our Streamlit Web App.mp4 | 3 MB | ||
| 002 Overview on our BMI APP.en.srt | 1.2 KB | ||
| 002 Overview on our BMI APP.mp4 | 4.9 MB | ||
| 002 Using textual functions in Streamlit.en.srt | 11.2 KB | ||
| 002 Using textual functions in Streamlit.mp4 | 41 MB | ||
| 003 2 - Textual functions.py | 716.8 B | ||
| 003 Creating our Single Paged BMI APP using Streamlit.en.srt | 8.8 KB | ||
| 003 Creating our Single Paged BMI APP using Streamlit.mp4 | 33.6 MB | ||
| 003 Displaying DataFrames and Code Snippets in Streamlit.en.srt | 7.7 KB | ||
| 003 Displaying DataFrames and Code Snippets in Streamlit.mp4 | 30 MB | ||
| 003 Structuring our Web App.en.srt | 10.9 KB | ||
| 003 Structuring our Web App.mp4 | 52.7 MB | ||
| 004 3 - Displaying DataFrame.py | 409.6 B | ||
| 004 Adding Widgets in Streamlit.en.srt | 15.4 KB | ||
| 004 Adding Widgets in Streamlit.mp4 | 52.2 MB | ||
| 004 Structuring our Descriptive Analytics Sub page.en.srt | 12.6 KB | ||
| 004 Structuring our Descriptive Analytics Sub page.mp4 | 60.7 MB | ||
| 004 tips.csv | 9.5 KB | ||
| 005 4 - Adding widgets.py | 1 KB | ||
| 005 Adding Media Files in Streamlit.en.srt | 5.6 KB | ||
| 005 Adding Media Files in Streamlit.mp4 | 18.6 MB | ||
| 005 Structuring our Plots Sub page.en.srt | 29.2 KB | ||
| 005 Structuring our Plots Sub page.mp4 | 199.7 MB | ||
| 006 5 - adding media.py | 307.2 B | ||
| 006 Day83.mp4 | 3.1 MB | ||
| 006 Explaining How to Build our Machine Learning Model for Prediction.en.srt | 7.3 KB | ||
| 006 Explaining How to Build our Machine Learning Model for Prediction.mp4 | 36.7 MB | ||
| 006 Getting Input from the User.en.srt | 6.6 KB | ||
| 006 Getting Input from the User.mp4 | 19 MB | ||
| 006 audio.mp3 | 2 MB | ||
| 006 st.jpg?042148 | 9 KB | ||
| 007 6 - Getting input.py | 409.6 B | ||
| 007 Structuring our Prediction Page.en.srt | 11.2 KB | ||
| 007 Structuring our Prediction Page.mp4 | 75.3 MB | ||
| 007 Understanding Beta Columns function in Streamlit.en.srt | 10.6 KB | ||
| 007 Understanding Beta Columns function in Streamlit.mp4 | 43.6 MB | ||
| 008 7 - Using Beta Columns.py | 716.8 B | ||
| 008 Using Data Visualization Libraries in Streamlit - Seaborn, Matplotlib and Plotly.en.srt | 17.5 KB | ||
| 008 Using Data Visualization Libraries in Streamlit - Seaborn, Matplotlib and Plotly.mp4 | 76.9 MB | ||
| 008 Using our ML Model for Prediction inside Streamlit.en.srt | 9.9 KB | ||
| 008 Using our ML Model for Prediction inside Streamlit.mp4 | 63.3 MB | ||
| 009 8 - Using Visualization Libraries.py | 1.3 KB | ||
| 009 Deploying Our Streamlit.en.srt | 6.7 KB | ||
| 009 Deploying Our Streamlit.mp4 | 43.5 MB | ||
| 009 lang_data.csv | 12.6 KB | ||
| 009 tips.csv | 9.5 KB | ||
| 012 app.py | 1.1 KB | ||
| 012 bmi.jpg?042148 | 29.2 KB | ||
| 012 bmi_App.txt | 716.8 B | ||
| 014 Prediction.ipynb | 16.5 KB | ||
| 014 Renaming .ipynb | 12.9 KB | ||
| 014 app.py | 2.9 KB | ||
| 014 asr.jpeg | 77.6 KB | ||
| 014 eda.py | 6.9 KB | ||
| 014 heart.csv | 11.1 KB | ||
| 014 heart.jpeg | 12 KB | ||
| 014 info.jpeg | 73.5 KB | ||
| 014 lr_model | 921.6 B | ||
| 014 ml.py | 4.4 KB | ||
| 014 pairplot.jpeg | 264.7 KB | ||
| 014 plots.jpeg | 1.8 MB | ||
| 014 renamed_data.csv | 33.1 KB | ||
| 014 requirements.txt | 102.4 B | ||
| 014 rf_model | 1.1 MB | ||
| 014 webapp_tour.mp4 | 15.1 MB | ||
| Bonus Resources.txt | 307.2 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 76 total files | |||
Learn Streamlit Python from Scratch || Streamlit Bootcamp
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 21 lectures (3h 5m) | Size: 911.1 MB
Create Beautiful Data Apps and Machine Learning Web Apps In Python Faster with Streamlit
What you'll learn:
To create and deploy Web Applications using Streamlit
Requirements
Just have a basic knowledge on Python
Description
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 the
If You Need More Courses, kindly Visit and Support Us -->> https://FreeCourseWeb.com
Thank You.
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