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

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.

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

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

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

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

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

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

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 :)

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

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

this was actually fun and easy to follow

I am lucky finding this Amazing channel, Big thanks !

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

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

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

Thank you biddy for this beautiful project tutorial, loved it and loved your channel

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

this is really helpful mate ... thanks a lot

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

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

My first youtube comment! I just want to say "Awesome!"

Great content !!! Thank you for uploading it !

Nicely done, sir. You are really helping me build my Streamlit chops!

Awesome, this is precisely I was looking for. Many many thanks dear

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!

Amazing Video I wish I explored your channel earlier, Legit you do amazing work.

Awesome video sir, I learnt a lot through your video , thank you for your guidance, make like this contents more so that you a help lot of people like me.

Thank a ton for this. I am really loving your channel.

wow, thank you, sir. It just what I'm looking for!! keep it up I need more like this

Great Tutorial man. Thanks for the content!!

keep doing sir. i see a great teacher coming up. you are my fav.

You are great man I always miss your tutorial

Excellent excersice my friend, thanks so much.

very nice , i really enjoy it .. Thanks for sharing ..

i love the contents you put up on your channel.

something is missing, you forgot to explain to build a conda environment first the rest of the video is an amazing tutorial! I have subscribed you

Thanks man

thank you

Great tutorial sir, and if I may ask how do we load a dataset from our computer?

Thanks for another great tutorial!

Really really great thanks very much !!!

You are a star...this was too good... :)

Thank you for the awesome video

Great video , it helped a lot!!!! thnx

Great tutorial, however in which step shall I add a streaming source datasets instead of the static one which you have presented here ? Best

Very helpful

Nice video ... you just save a soul

sir,you didn't do the preprocessing step is it really necessary to do preprocessing for built in datasets

Thank you very much for your valuable efforts, it really helped me a lot. Wanna take this advantage to ask if there is any thing we can do to earn money from acquiring ml and dl skills like freelancing? What possible sort of work can we expect? Thanks again!

Very cool man. Thanks :)

Today you got a new subscriber

Awesome. Subbed

I followed this exact code and it gave me this error rs\User\PycharmProjects\pythonProject13\sogum.py", line 72, in acc = accuracy_score(y_test, y_pred) NameError: name 'y_test' is not defined

Awesome! Good stuff

You teach great, no one can teach better than you, but that voice of yours, I was getting bored and feeling sleep due to your voice, they say if there are 40 students and 1 teacher in a class, a good teacher's voice will be louder and more energetic than all those 40 combined.

Thanks alotttt!!!

1. I have Streamlit working on my laptop (Macbook OS v10.x) and but not my desktop (iMac v11.x) (unknown reasons, no solutions found that work for me) 2. This was a great video and glad you made it, thank you Patrick!

i wish i had words to thank you .....

Great vedio but How to import our ml project and if we want our ouput in image form can we do it by importing an image please reply ASAP

GOod content

Thank you man, for this beautiful project and explain it, here is plus one subrscibre, wich to watch all your beautiful videos

If posible to make a complete desktop Application with python streamlit like c++???

How to add external dataset, which is not present in SkLearn?

I’m getting a TypeError: get_classifier() missing 1 required positional argument: ‘params’

amazing ....

how can i add my own data to page and use it for analysis in this streamlit?

great tutorial

Good work! Can you share how to save the web app file and post it to a url or a website?

Brilliant!

I have. Question I want to deploy my classification model using radio buttons using streamlit . But it is givivg an error : string cannot convert to numeric My excel file is in 0 and 1 form . And I want when I fill yes radiobutton. it take it as (1) and else (0) Please give some suggestions..

awesome

Excellen video!. But can you make auto ML which can recieve random dataset (unlimit) & the apps has a fiture to select desired column for training and modeling in it?

Please can i do this with adding a new machin library like pyStacknet ? it's like Stacking in sklearn ensembl

when i am using multiple text input its showing a key error please help!

Just came here to say you are awesome. Thank you so much for putting up this video. Turned on the notifications so that I don't miss your videos. 😉

Thanks for the video. My question is ,do you know any way to use weka library for the same thing ? I want to use weka in my project

very good tutorial .... how to import ML models from Weka or Rapidminer or Orange into Streamlit ?

It shows error after importing sklearn, how to fix this?? Please help

Nailed it.

Wawu! I love it!

Wow wow wow , I really enjoyed these kinds of videos , building apps with your trained models,you are really a helper of my life 🥰🥰💗I really love you dude ,God bless you . Can we please text on any socialedia you are available pleaseeee!!,🙏🏻🙏🏻😭

Hey! Your explanations are amazing but no matter what streamlit hello just would work at my system, saying that it is not recognizable command. Can you please help!!!

hi it's amazing ..but i have a probleme that i can't do the link between the streamlit and my code ? how you do that

when i try to fit the training data then i am getting the error like this ValueError: Found input variables with inconsistent numbers of samples: [120, 30] can anyone solve that one? I am stucked in here

So basically this video would help me not getting into flask. Reply if I am wrong

Sir I want to make web application with machine learning highest( for heart disease) accuracy model using streamlit can you guide me

am getting error when i am tyring to use buttomor map by the ocde st.buttom error is-- AttributeError: module 'streamlit' has no attribute 'buttom' Traceback: File "c:\programdata\anaconda3\lib\site-packages\streamlit\script_runner.py", line 338, in _run_script exec(code, module.__dict__) File "C:\Users\HP\Desktop\introstreamlit\first.py", line 43, in if st.buttom("Say hello"): how can i solve this error please help thanks

mine is localhost 8501 for some reason but I do not think that matters

how to add automl for hyperparameter optimization here ?

What is data.data and data.training?

Can you also do Streamlit examples, like training a deep learning model and then use the model with user inputs for predictions? I noticed that the model gets trained again, each time you modify the input parameter, at least, when I tried.

Good day, What IDE are you using?

1000th like!

This is vscode??

Would this be able to work if you have an sklearn pipeline instead?

how to setup streamlit that entire script don't run again?

can you please make a video on how to make a note-taking app in streamlit I tried to implement it but there are so many problems with my version because while deleting a note (row in the data frame) it messes up because the select_box doesn't get updated and sometimes deletes the row which is not intended to: def Notes(): st.markdown('## Notes') st.markdown('####') df= pd.read_csv('Notes.csv') Seal = st.container() nt,tb=st.columns(2) val=nt.text_area('Edit','Enter Note',height=200) if nt.button('Add note'): if val not in df['All Notes'].tolist() and val!='Enter Note': df.loc[len(df.index)]=val df['.']='.' df.to_csv('Notes.csv',index=False) tb.table(df.rename(columns={'All Notes': 'Highlights'}).set_index('.').sample(2)) with nt.expander('Delete'): delt=st.selectbox('Delete',df['All Notes']) if st.button('Delete'): df= pd.read_csv('Notes.csv') df=df.drop(df[df['All Notes']==delt].index) df.to_csv('Notes.csv',index=False) with Seal.expander('See All'): st.table(df.set_index('.')) Notes() this is my implementation.

thanks a lot. which IDE do you use for it?

Which editor is this?