1000 Likes from my end:) I make sure I hit "Like" on each of your videos. We can at least do this for all the effort you put in teaching. I also wanted to know, if I create an account on Azure or AWS for deployment, will I be charged for deploying these practice projects? If yes, are there other ways we can deploy projects for free (Just for practice?)
Thanks a lot sir for this Playlist 🙏 I have watched till here ❤ But not written code after 4 videos because of the venv , github, and installation errors of packages tried hardest to solve them but not able to If you can help in that regards 😊 😊
How much does azure charge if someone wants to keep the deployed project to showcase to the future employers or maintaining a portfolio? I've used heroku and streamlit free before, and curious about the advantages of azure over those platforms.
Hi, I had the same issue. It turns out that I had the following line model_path = "artifacts\model.pkl in the predict function in predict_pipeline.py. Changing it to os.path.join("artifacts", "model.pkl") seemed to do the trick. The same applies for the preprocessor_path. I guess this is related to the different path definition ("/" "\") in Windows (my local machine) and Linux (Elastic Beanstalk). I hope this helps@@harshaks7605
Hi Krish, I was wondering how to do audio classification with AVASpeech dataset which is for Speech-in-Noise vs Speech vs Speech-in-music, ...? Are there any repo's that you can point me towards which would help me with this? Thank you.
Has anyone gotten this to work? It functions properly on my local system, but when I deploy it on Azure, everything seems fine until I click 'predict' on the webpage. Then, I receive a 'server overloaded or error in application' message. Thx
Hi Krish , I am getting internal server error . When i checked logs it says "No such file or directory: 'artifacts\\model.pkl'" . We haven't moved artifacts to github right , so how will our app unload that model.pkl ? I tried pushing artifacts folder also but still getting same error . Can you please us solve this ? Same thing I have faced in AWS EB deployment also .
Had a similar error in AWS. For me the solution was to use the os.path.join function to define the paths to the model and preprocessor pickle files instead of defining them explicitly. I guess the issue is related to the different path definition ("/" vs "\") in Windows (my local machine) and Linux (Elastic Beanstalk). I hope this helps
Hi krish, I am getting internal server error after when I click on submit button in UI. But things are working fine in local. Can you please let me know if any solution to this.
Had a similar error in AWS. For me the solution was to use the os.path.join function to define the paths to the model and preprocessor pickle files instead of defining them explicitly. I guess the issue is related to the different path definition ("/" vs "\") in Windows (my local machine) and Linux (Elastic Beanstalk). I hope this helps
Krish .... ur videos are superb.... I learn a lot from you.
Amazing Series With Respect ❤ 😊
yes sir please make github actions playlist
sir pls make a tutorial on github actions. I'm really loving this series and i'd rather learn it from you than someone else.
Welcome back King of data science ❤
Thank you very much sir for this industry level content.
Thanks Krish for such an awesome tutorial
Thank you so much for your efforts Krish! Love the content!!
Very good video . Please create video on Github Action also
it's so informative, thank you so much
Hi Krish, please create a dedicated video on extensive use of Github actions for E2E model deployment
Great dedication,
thanks a lot
Thanks alot for the informative video. Please make a video of using docker for code deployment in azure cloud
Hi Krish, how can we dockerize the whole project ? Please make a video on that also , nice tutorial by the way
Thank you so much for this video
1000 Likes from my end:) I make sure I hit "Like" on each of your videos. We can at least do this for all the effort you put in teaching.
I also wanted to know, if I create an account on Azure or AWS for deployment, will I be charged for deploying these practice projects? If yes, are there other ways we can deploy projects for free (Just for practice?)
Thank you for sharing
Krish ji, please make a video of CICD for ML Apps using Jenkins
Thanks Krish
Sir 1000 likes completed 😊
Thanks
Thanks a lot sir for this Playlist 🙏
I have watched till here ❤
But not written code after 4 videos because of the venv , github, and installation errors of packages tried hardest to solve them but not able to
If you can help in that regards 😊 😊
Build a Cotton Price Prediction using ARIMA model end to end project. This is really very difficult project I can say. Let's do it.
Hello @Krish nair sir, Can we have a vedio on code deployment directly via github. No azure/AWS
Hi Krish, could you please create a playlist on polars library and how it is better than pandas in terms of speed?
@Kirsh naik Sir can we deploy app with help of student free id in Azure
App.run() work in Azure ? or need to give port also ? Also, in azure need to enter any startup command ?
hii krish can you show how to train pipiline and predict pipeline with dotnet backend
How to include all preprocessing steps in app.py using pickle. Please make a video on dataset contains missing, cat and num columns
How much does azure charge if someone wants to keep the deployed project to showcase to the future employers or maintaining a portfolio? I've used heroku and streamlit free before, and curious about the advantages of azure over those platforms.
Hello Krish
This video is very helpful. But this example is not working any more
Why iNeuron stopped Live classes for Tech Neuron users ?
Sir do we need to pay or enter credit card details in azure to deploy our project?
Internal server error is showing.
The app run smoothly in localhost but, when i deployed it in azure ,it is showing error
I have the same problem right now. Did you find any solution? Thanks in advance
I do have the same issue. Any solution??
@@harshaks7605did you use the git LFS to push the model to the remote directory?
Hi, I had the same issue.
It turns out that I had the following line
model_path = "artifacts\model.pkl
in the predict function in predict_pipeline.py.
Changing it to
os.path.join("artifacts", "model.pkl")
seemed to do the trick.
The same applies for the preprocessor_path. I guess this is related to the different path definition ("/" "\") in Windows (my local machine) and Linux (Elastic Beanstalk).
I hope this helps@@harshaks7605
Hi Krish,
I was wondering how to do audio classification with AVASpeech dataset which is for Speech-in-Noise vs Speech vs Speech-in-music, ...?
Are there any repo's that you can point me towards which would help me with this?
Thank you.
sir can i give this as my final year project??
Sir did you deploy using free plan or what
if we make changes in the repo code then the changes will automatically seen in the deployed app or do we need to redeploy the app??
Can please do in GCP
Has anyone gotten this to work? It functions properly on my local system, but when I deploy it on Azure, everything seems fine until I click 'predict' on the webpage. Then, I receive a 'server overloaded or error in application' message. Thx
Same here.
Hi Krish , I am getting internal server error . When i checked logs it says "No such file or directory: 'artifacts\\model.pkl'" . We haven't moved artifacts to github right , so how will our app unload that model.pkl ? I tried pushing artifacts folder also but still getting same error . Can you please us solve this ? Same thing I have faced in AWS EB deployment also .
facing same error , if you find any solution kindly share
Had a similar error in AWS. For me the solution was to use the os.path.join function to define the paths to the model and preprocessor pickle files instead of defining them explicitly. I guess the issue is related to the different path definition ("/" vs "\") in Windows (my local machine) and Linux (Elastic Beanstalk). I hope this helps
Hi krish,
I am getting internal server error after when I click on submit button in UI. But things are working fine in local.
Can you please let me know if any solution to this.
Had a similar error in AWS. For me the solution was to use the os.path.join function to define the paths to the model and preprocessor pickle files instead of defining them explicitly. I guess the issue is related to the different path definition ("/" vs "\") in Windows (my local machine) and Linux (Elastic Beanstalk). I hope this helps
Hi, the solution that I found was to clearly defining the packages installed for the project in requirements.txt
How to get job as a data science fresher please help
Is it free ? or we have to pay anything to deploy ?