Build A Beautiful Machine Learning Web App With Streamlit And Scikit-learn | Python Tutorial

preview_player
Показать описание
Get my Free NumPy Handbook:

In this tutorial we build an interactive machine learning app with Streamlit and Scikit-learn to explore different datasets and classifier. This tutorial should demonstrate how easy interactive web applications can be build with Streamlit. Streamlit lets you create beautiful apps for your machine learning projects with simple Python scripts. As a bonus, you will also learn how we can implement Machine Learning classification pipelines using Scikit-learn.

📓 Notebooks available on Patreon:

If you enjoyed this video, please subscribe to the channel!

You can find the code on GitHub:

ML From Scratch Playlist:

Please checkout my website to see all tutorials:

You can find me here:

#Python #MachineLearning #sklearn

----------------------------------------------------------------------------------------------------------
* This is a sponsored or an affiliate link. By clicking on it you will not have any additional costs, instead you will support me and my project. Thank you so much for the support! 🙏
Рекомендации по теме
Комментарии
Автор

This is absolutely incredible. As someone studying data science, I know nothing about web apps. However, this tutorial and streamlit in general make deploying data web apps look super easy! I would love more videos on streamlit

carljohnsrude
Автор

Best streamlit tutorial I have come across so far. Concise yet informative.
This is a very good tool to show (and tune) my models with other colleagues.

kccchiu
Автор

Thanks, you just made my day...I've been struggling with this for some time...Keep-up the good work

sammagagula
Автор

after watching 10 videos and didnt understand them, your video chopped streamlit to me so easily. Very very nice video

murtazajabalpurwala
Автор

Excellent video! Be great if we can also see an example of streamlit deployed on Google Cloud, may be with Docker.

orjihvy
Автор

Great tool and beautiful intstructor. Thank you so much Mr.Patrick Loeber

hungnd
Автор

I have seen this video many times as a beginner. Very well explained with beautiful work. Thanks.

divyakarade
Автор

What a great tutorial! Patrick is the best, as always.

saitaro
Автор

this was actually fun and easy to follow

julianschmidt
Автор

Thank you so much for this tutorial! Well explained! 👍🏾

Robay
Автор

I am lucky finding this Amazing channel, Big thanks !

ibanguniverse
Автор

Dude Grand Salute to you.This is THE BEST which i have seen in Youtube in terms of teaching.Didnt skip the ads Bro.You are just aweosme, ..Could you please start a series for Deep learning as well.

kulamanisahoo
Автор

It is amazing. I am looking for this tools to show the result of our models. you are rock.

Guillermo
Автор

you produce the most useful and practical data science videos on youtube! Thank you!

vikdfr
Автор

Really a good video... I was struggling with Django and Flask to have the ML models into Web.. with this streamlit life will be easier. Thanks a lot :)

mayanktripathiu
Автор

Great... looking for an easy interface to do analysis and prediction ...and saw this ...

Big thanks

clueple
Автор

This was a great video, been following you for a while and the work you do is great man 👊

AladdinPersson
Автор

I felt in love with streamlit. Have subscribed to your channel.

kasibantegeoffrey
Автор

Great content as always!

I have two questions:

1. Where are the data sets coming from?
2. How are you getting the models to train so quickly?? It's awesome, but when I run the models it takes time. I am curious how this is happening so quickly!

MaximumZebra
Автор

Nice tutorial man. I have subscribed to your channel. Well done.

arzwanaris