Build A Machine Learning Web App From Scratch

Build a Machine Learning web application from scratch in Python with Streamlit. We use real world data to build a machine learning model. In the first part you learn how we analyze the data and build our model, and in the second part we build the web app using streamlit.

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pandas scikit-learn numpy streamlit sklearn

Timeline:
00:00 - Introduction
00:39 - Project Overview
04:48 - Data Cleaning & Model
30:55 - Build The Web Application

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* This is 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! 🙏

[gabrielalopezgutierrez]

This is exactly what you are looking for if you are a junior data scientist who just started a web app project. Incredibly simple and yet complex intro.

[patloeber]

If you follow this tutorial you have a great portfolio project for your resume: It shows working with real world data and putting it into a ML web app that visualizes the results. Hope you enjoy it :)

[shishirrd]

This was fantastic! I built my first Python web app using exclusively this tutorial. Thank you, Python Engineer.

[jaggyjut]

This is awesome. Could you create a tutorial on how to build a web app which can identify an image deployed on google cloud. One of the best ML channels. Pure Gold.

[narasa]

Excellent video, thank you so much for sharing this!!!

[yevg]

As I said previously I was probably within your first 1k subscribers and man I just love watching you go at these in the zone! Great content relevant no fluff just keep going love it

[raymondmichael]

I'll come to this, your teaching made me think about starting to learn streamlit

[NePhoosStAr]

Omg thanks you soo soo so much, because I was in college try Harding to understand the concept of machine learning. Got to learn so much. Like the concept of : data cleansing, data training fitting, how to use trained AI to make prediction. Your explanation is just mind blowing. I did this project and on top added my own touch which I would've never done if were to just to try to learn from College alone.

[Mike-jrre]

What a maestro! Keep your great work, man. Really appreciate this high quality stuff!

[antonietakuz]

@Patrick Loeber Hola!!! :) greetings from Argentina, excellent video and explanation, please continue doing them

[sulekhamohamud]

Thank you, this project actually works.Much appreciationn😇

[techcompany_]

How we can calculate accuracy of above project??

[kaushekravi]

Hi! Shouldn't the label encoder transformers need to be used only in the target variables? But in this video you are using it for the input variables too. Correct me if I'm wrong.

[AhmadIHafez]

Thanks a lot it was detailed enough to help!

[karthikb.s.k.]

Nice can you also do interaction of FAST API with streamlit for this ML problem. Thank you

[ashanbandaranayeke]

Thanks Patrick! Was a lovely tutorial and guessing the frame can be used to design other linear regression apps easily (and other models with a little bit of work).

[moviesaddahindimovies]

No such file or directory: 'saved_steps.pkl' please help

[sriharishpopuri]

This is a helpful tutorial. Thank you. Can you also make a video on Interactions between different charts using streamlit? This will be useful to many(like me) I guess👍🏻

[alvarob]

Error:
X[:, 0] = le_country.transform(X[:, 0])
X[:, 1] = le_education.transform(X[:, 1])
X = X.astype(int)
X


ValueError: y contains previously unseen labels: 'United States'

Solution: change 'United States' to 'United States of America', seem like the CSV dataset updated.

[peterodesola]

i really enjoy the tutorial, thanks sir.