You are here to cheat people! I did see your machine learning video and joined your course only to find out that you won't do what you said. You might even delete my comments here but people will find the truth.
Thank you for the great course. However, when you create a course as intensive as this which spans for 3 hours, you should make sure that the time people invest in your course is fruitful. The fact that you did some very important troubleshooting steps offline by cutting the video and just explaining for a short few seconds what you have done offline to solve the issue makes it impossible for some of us less-experienced individuals to follow through with the final steps of the project turning this into a very frustrating experience. At 2:43:00 we totally lost the flow when you could not run the MLFlowDeploymentService and you cut the video and fixed it offline.
Thanks for this, please could you do mlops using either mlflow or airflow or kubeflow with feature store and kubernetes,docker for an mlops platform with terraform
I'm wondering about doing end to end mlops for a complex project involving deep learning like compute vision, nlp etc. That won't be this simple as dealing with tabular data. A good tutorial for that is much needed..
thanks for the tutorial. at 1:37:28, you should not pass X_test and y_test to the train_model function. it is not used in the function and shouldn't be
excellent video, thank you very much! I have a doubt, as I could implement the model remotely (production)? that is to say not only locally as seen in this video.
Exactly my point he knows what he is doing but is not able to convey his knowledge and understanding to hi audience... Took his ML course and was unable to understand a single thing he taught and same goes for this course as well
is it really necessary to use design patterns? The code looks very complicated and isn't readable due to so many classes and objects everywhere. Is this followed in companies?
hello i have some error on predict_service_loader, "No MLflow prediction service deployed by the mlflow_model_deployer_step step in the continuous_deployment_pipeline pipeline for the 'model' model is currently running"
Hey! First of all, thanks for your video tutorial, well done! Though, I have a question, has anyone else encountered an error "RemoteDisconnected: Remote end closed connection without response" while registering the MLflow experiment tracker? I've spend hours already trying to fix it. Have no idea what else to try.
i'm an hour and 7 minutes in and not ableto figure out this error StepInterfaceError: Too many arguments (1, expected: 0) passed when creating a 'train_model' step.
If you're running on Mac, consider setting the environment variable: OBJC_DISABLE_INITIALIZE_FORK_SAFETY=YES. Depending on your chosen interpreter (such as .bashrc or .zshrc), add this variable to the respective configuration file
Interesting though not very in-depth :) and runs over some important installation and package details, I think. What can I do about this error: "ImportError: cannot import name 'TryCast' from 'sqlalchemy.sql.elements'"?
Im getting error message 'service daemon is not running' with a warning :Daemon functionality is currently not supported on Windows. Please solve it @AyushSinghSh
![ERROR : 0A00018E:SSL routines::ca md too weak [node js]](http://i.ytimg.com/vi/xL_4MNjzXMc/mqdefault.jpg)
![BOWKYLION - วิงวอน (ex-change) [Official MV]](http://i.ytimg.com/vi/cLdnZWDaO-w/mqdefault.jpg)
Hope you guys enjoy the course, do lmk if you have any such questions in this!
ليه مفيش ترجمه عربي
Thank you so much for the course, you help alot of devs out there.
You are here to cheat people! I did see your machine learning video and joined your course only to find out that you won't do what you said.
You might even delete my comments here but people will find the truth.
Ayush, thanks for this course. Where do I find the extra reading material you mentioned at the end of the readme file?
Thanks again for sharing your MLOPs insights with the global developer community. This course is going to help a LOT of devs.
Thank you for the great course. However, when you create a course as intensive as this which spans for 3 hours, you should make sure that the time people invest in your course is fruitful. The fact that you did some very important troubleshooting steps offline by cutting the video and just explaining for a short few seconds what you have done offline to solve the issue makes it impossible for some of us less-experienced individuals to follow through with the final steps of the project turning this into a very frustrating experience. At 2:43:00 we totally lost the flow when you could not run the MLFlowDeploymentService and you cut the video and fixed it offline.
The actual video starts at 34:00
The course overall is very helpful, but the delivery is lacking finesse - lots of syntax errors, type errors and overall hard to follow sometimes
Hey can you guys please make a course on robotics I think that would be really interesting and a lot of people would be invested on that topic.
Up for this one
They already have an Arduino+ robotics course
@nischalnaik230 If u you have any links i would love to have any suggestions
I've wanted a video like this for so long. Thank you.
Thank you so much, been waiting for a MLOps course :)
How are you going along like where do i find the notebook and instructions to go step by step
Thanks for this, please could you do mlops using either mlflow or airflow or kubeflow with feature store and kubernetes,docker for an mlops platform with terraform
yes need this one
GOOD.WATCHING FROM REMOTE PART OF AFRICA
I'm wondering about doing end to end mlops for a complex project involving deep learning like compute vision, nlp etc. That won't be this simple as dealing with tabular data.
A good tutorial for that is much needed..
how about you join my startup as an ML Engineer ?
@@ogollaogolla7 Hi ogolla
@@allok501 Wassup bro
@@ogollaogolla7 Hey - Please is this offer still available?
@@akandee
Naah
Leaving a comment before going through the whole course edit will be done later after completion of course 😊
How'd it go?
@@victorngo8749 haven't even started 🤣🤣🤣🤣🤣💀
What's the verdict? Guilty or not guilty?
@@Tesseus2006 start he nhi kiya 🤧, us moment 😆
❤❤🎉 Good Project 🎉 ❤❤
I been looking for this,I`m transitioning from devops to MLops.Thanks @AyushSingSH and @Freecodecamp
Tops software engineer full programming language skills 2023
This is really amazing tutorial about MLops. Sir could you tell the theme you are using in VScode
Its a great advice taking care about warnings
What are the prerequisites for MLOps? I am new to the ML field, but this course is quite interesting.
thanks for the tutorial. at 1:37:28, you should not pass X_test and y_test to the train_model function. it is not used in the function and shouldn't be
agreed. I didn't pass these
Great content. Thanks
excellent video, learnt a lot!
looks more like a zenml tutorial and promotion than an mlops course
28:27 "and then make sure that there are certain things which is, which we have to make sure this"
excellent video, thank you very much! I have a doubt, as I could implement the model remotely (production)? that is to say not only locally as seen in this video.
Hi, thank you for the interesting course, where can I find links to design patterns mentioned in 1:14:20?
Nice thank you so much
kindly provide the lecture slides. It would be very helpful.
How did he solve the error at 2:44:12 ? I'm getting the same error. Can someone please help
boto3 should be installed and imported before initiating zenml
First view done - thank you for sharing your experience!
why use class design approach? it makes it so much more complex than it needs to be
He probably knows his stuff, but not a good instructor explaining things clearly.
Exactly my point he knows what he is doing but is not able to convey his knowledge and understanding to hi audience... Took his ML course and was unable to understand a single thing he taught and same goes for this course as well
@@hammadkhalid7201 from where did you take the course?
Excellent .
Love these
is it really necessary to use design patterns? The code looks very complicated and isn't readable due to so many classes and objects everywhere. Is this followed in companies?
Does codecamp actually make any videos or just use other people’s work?
This guy is legend
He is indian
@@vijaychoudhary7312calm down
Because there was noise in background …. ;)
which theme he is using in VScode?
Sound like a more enthusiastic version of The Data Janitor 😂😂😂😂
Step mlflow_model_deployer_step has started.
Daemon functionality is currently not supported on Windows.
Not Working in windows.
Hi, have found a way around this?
Just wow
Will I get the certificate after the course?
damn, ,, he says "right" after every word he speaks..
Thanks
Creating blueprint of steps
Yeh toh bhoot uper jayega.😅
i have just complete my data science course should i do ml ops or ml ops is not for me? plse help me i am confused
bhot hi zyada accent dalne ki koshish ho rhi hai . nice
hello i have some error on predict_service_loader, "No MLflow prediction service deployed by the mlflow_model_deployer_step step in the continuous_deployment_pipeline pipeline for the 'model' model is currently running"
same error, did you solve it?
Is the slide shareable?
Dayne Tunnel
@pipelines() " Error: 'module' object is not callable
1:39:49
I love you FCC!
Kub Crescent
Hey! First of all, thanks for your video tutorial, well done! Though, I have a question, has anyone else encountered an error "RemoteDisconnected: Remote end closed connection without response" while registering the MLflow experiment tracker? I've spend hours already trying to fix it. Have no idea what else to try.
i'm an hour and 7 minutes in and not ableto figure out this error StepInterfaceError: Too many arguments (1, expected: 0) passed when creating a 'train_model' step.
got anything ? facing the same issue... @anastasiyalis2666
I went ahead following the video just to see what's next
If you're running on Mac, consider setting the environment variable: OBJC_DISABLE_INITIALIZE_FORK_SAFETY=YES. Depending on your chosen interpreter (such as .bashrc or .zshrc), add this variable to the respective configuration file
Hi, consider asking this in zenml slack community, they will resolve your query.
Daemon functionality is currently not supported on Windows. any body stuck at this
Yes - Stuck - Did you figure this out?
Bernier Groves
1:07:00
Teach me ,, Brother..
1:10:26
❤
Are you indian sir?
Yes he is indian
zenml not installing ERROR: Ignored the following yanked versions: 0.0.1rc1, 0.0.1rc2, 0.1.0, 0.1.1
ERROR: Ignored the following versions that require a different python version: 0.1.2 Requires-Python >=3.6, =3.6, =3.6, =3.6, =3.6, =3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.6, =3.6, =3.6, =3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.6, =3.6, =3.6, =3.6, =3.6, =3.6, =3.6, =3.6, =3.6, =3.6, =3.6, =3.6, =3.6, =3.6, =3.6, =3.6, =3.6, =3.6, =3.6, =3.6, =3.6, =3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.8,=3.8,=3.8,=3.8,=3.8,=3.8,=3.8,=3.8,=3.8,=3.8,=3.8,=3.8,=3.8,=3.8,=3.8,=3.8,=3.8,=3.8,=3.8,=3.8,=3.6.2,=3.6.2,=3.6.2,=3.6.2,=3.6.2,=3.6.2,=3.6.2,=3.6.2,=3.6.2,=3.6.2,=3.8,=3.8,=3.8,=3.8,=3.8,=3.8,=3.8,=3.8,=3.8,=3.8,=3.8,=3.8,=3.8,=3.6.2,=3.6.2,=3.6.2,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,=3.7.1,
Install a python version lesser than 3.12, eg 3.11
59:45
56:09
Schaden Circle
We should build data not lore.
👍
Please upload in Spanish !!!
America Fields
24:54
Schulist Glen
1st view 😊
1
Demond Mission
First plase likr it
no
9E6R&❤
The accent is just too much
first 😅
Interesting though not very in-depth :) and runs over some important installation and package details, I think. What can I do about this error: "ImportError: cannot import name 'TryCast' from 'sqlalchemy.sql.elements'"?
Im getting error message 'service daemon is not running' with a warning :Daemon functionality is currently not supported on Windows. Please solve it @AyushSinghSh
1:26:04
50:36
❤