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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Опубликовано:

30 июл 2024

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Комментарии : 33

@ritikeshkumar1692 4 месяца назад

I am also doing same project in major projects😍

@mahaalsalman2323 2 года назад

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.

@HackersRealm 2 года назад

Thanks for your kind words!!! Glad it's helpful to you😄

@ms-ej4gd Год назад

amzing video bro

@HackersRealm Год назад

Thanks!!! Glad you liked it!!!😁

@sasanikaruwanthi3747 4 месяца назад

Great video😍😍

@HackersRealm 4 месяца назад

Glad you liked it!!!

@yashtyagi8996 2 года назад

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

@HackersRealm 2 года назад

the flow is same for all projects, just change few things for prediction and you can do it!!!!

@vrnkareti7154 4 месяца назад

hey Did you got it speech emotion model

@keerthishreya4495 9 месяцев назад

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

@HackersRealm 9 месяцев назад

yeah, it will be similar for all models

@ketakichavan6200 Год назад

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

@HackersRealm Год назад

check the flask code, you would have made some spelling error

@yuvanbharathi9383 2 года назад

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

@HackersRealm 2 года назад

you just have to create more function for model prediction and web pages. Everything else is similar process

@shreyabhattacharjee1744 6 дней назад

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

@HackersRealm 5 дней назад

please check whether the model variable is initialized

@madhuripatel9534 8 месяцев назад

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

@HackersRealm 8 месяцев назад

You have to add python or anaconda interpreter

@my_channel215 Год назад

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

@HackersRealm Год назад

It's planned, will be creating that soon with example

@animatedvevo 2 года назад

Bro find the median Hackerrank problem solving ki video banaoo...... please

@HackersRealm 2 года назад

can you speak in english, and if you're asking for video, it's already uploaded

@oushnik Год назад

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.

@HackersRealm Год назад

Can you elaborare on the line where it's throwing this error, and if you've saved random forest model, why decision tree error is coming?

@oushnik Год назад

@@HackersRealm error is showing in this line prediction=model.predict(f1)

@HackersRealm Год назад

@@oushnik is f1 is the test data?

@oushnik Год назад

@@HackersRealm yes this 1 I've created in html file like: def predict(): feature=[float(x) for x in request.form.values()] f1=np.array(feature).reshape(1,10) prediction=model.predict(f1)

@HackersRealm Год назад

@@oushnik the error is in the model level, not in in the prediction part