How to Deploy Machine Learning Model using Flask (Iris Dataset) | Python

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⭐️ Content Description ⭐️
In this video, I have explained on how to deploy the trained machine learning model for iris dataset using flask in python. This tutorial will help for building end to end data science projects.

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🕒 Timeline
00:00 Introduction to Model Deployment using Flask
01:20 Save and Load the Model
04:58 Flask Deployment Backend Code
11:53 HTML Frontend Code to get Input
16:33 Deploy the Model
18:17 Quick Walkthrough of Code

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I am also doing same project in major projects😍

ritikeshkumar

Awesome, you are great as usual happy to learn from your video tutorial your explanation is very clear, you go step by step and this help me as i am very beginner in machine learning subject thanks a lot for your time.

mahaalsalman

can we follow the same procedure for google colab models as well?

keerthishreya

Can you tell me, how to make two or more machine learning project in single webapp

yuvanbharathi

In visual studio it is showing to add interpreter, what interpreter we have to all

madhuripatel

can you make a video on how to deploy your speech emotion model?

yashtyagi

Lastly on homepage after giving an input it doesn't predict class . It shows an keyerror

ketakichavan

Any new video on deployment of ML web app on cloud platform ??

my_channel

AttributeError: 'DecisionTreeClassifier' object has no attribute 'n_features_' I'm getting this error when I'm trying to run my app.py file. But thing is that I've saved the model that is RandomForestClassifier(). So what is the error can u please help me. and thanks for your video. it makes easier to me to understand the whole code in Flask. Please help me with that error. thanks in advance.

oushnik

how we deploy for audio clasificitaion using flask?

devisnugroho

Hi I am getting issue class:an error occurred:name "model" is not defined

shreyabhattacharjee

Bro find the median Hackerrank problem solving ki video please

animatedvevo

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