How to connect mysql

i love you man

what if your dataset is not a basic csv file but a folder with thousands of images ? how do you handle the connection between dataset and worker docker image ?

I had serious issues with installing Airflow. Tried everything, and nothing seems to work. Thanks for the video, problem is resolved now.

If we want to use additional packages we new to use the build option in the docker compose file. But is it builded every time I run docker compose? Or only the first time? Do I need to comment that line again?

thank you . I found this problem : AttributeError: module 'kfp.components' has no attribute 'create_component_from_func' Can you provide the yaml file?

sir please share this notebook

sir my kubeflow lost connection the moment i try to upload the yaml file for pipeline, geting error lost connection to pods

very impressive

I have multiple repositories, each dedicated to a specific step, and each repository contains a separate DAG file. How can I create a global DAG that incorporates all these individual DAGs?

No other tutorial worked except yours! Thanks.

request returned Internal Server Error for API route and version %2F%2F.%2Fpipe%2FdockerDesktopLinuxEngine/v1.47/containers/json, check if the server supports the requested API version i am gettig this error

Hi Brother, I've gone through your video and it was great. For the pass 6 months since I started learning machine learning its has been a nightmare for me to have my anconda runs my programs. But I have some issues on the 3th phase inside the anaconda prompt" conda create -n condaenv python=3.9 ipykernel" its says failed and I can't continue. My operating system is Windows 11 CPU i3 2120 3.30Ghz Can you assist me please

Those who are finding problem with locating the incubator-superset. It dosent exist . Directly run docker-compose up in the main directory

@Ashutosh please make video on this please please please 1. best practices for creating new feature views ? 2. How to apply joins 3. Is id and evetimstamp is highly required ?

One is a details list of documents on how to do things other one is a open source programs written by using this list documents . One is design one is the actual implementation of that design

Thanks, the link to the docker compose template was helpful. The video does not explain where do the dags come from, since the newly created dag folder is empty, but I guess I'll keep searching. I find it ironic that the thing that is most not ok with this video is the constant ok-ing.

Tomorrow can you please create a new video on 1. best practices for creating new feature views ? 2. How to apply joins 3. Is id and evetimstamp is highly required ?

awesome

if feature view attached source table is updated with the existing data then in feature view materialize i'm getting still old record I ran below command because materialize-incremental will only work for newly arrived record. store.materialize(start_date=datetime.utcnow() - timedelta(days=530), end_date=datetime.utcnow()) but still data won't be updated # Defining our features names feast_features = [ "customer_product_purchased_count:timesbeingbought", ] # Getting the latest features features = store.get_online_features( features=feast_features, entity_rows=[{"id": 208}] ).to_dict() # Converting the features to a DataFrame features_df = pd.DataFrame.from_dict(data=features) features_df

hi please let me know if new data come in feast view source then do we need to run again "feast apply" ?

Hi Ashutosh, Thank you for this video :)

its fixed now

You are coding everything in your local VS Code and then the dockerized airflow runs the dag files. But how can you run this code from VS Code program? I want to see exactly how it's executed. I guess you need to configure it to run the python inside airflow. How do you force it to do it?

I have subscribed the channel bcz I have gone through many interviews and mostly they talk about operations or deployment part in interviews.. And I found some related videos on your channel, explaining theoretically and practically. I'll be more than happy if you keep posting on deployment part since ML related there are lot of videos however, youtube still struggling for deployment ones. You can be needful and helpful people like me..

can we export the chart in dashboard to pdf?

thank you

Please upload next part

thanks bro. I've been trying to run airflow for hours and just did it.

wow !

Nicely explained

do we need Kubernetes preinstalled?

Hi, do I need this if we only deal with fairly small data < million and batch processing for predictions?

Hi Ashutosh, Thanks for this super informative video. I have a task related to Feast and Model Manager. Is there anyone who can work on MLOps tasks on a paid job?

Very Nice Article

I appreciate all the effort you put into your videos! I find your channel really interesting. Just a thought - maybe trying Text-to-Speech with a clearer pronunciation would help people understand better?

Very very very helpful content, gives a bigger picture of how you models are utilized in real world scenario! Keep up the good work! and Thank you!

Thanks Ashutosh. Really a nice implementation. Topics you are touching are very new and not easily available. Can u let me know pls what all tech i need to focus upon to target good MLOPS profile. I already have almost 5yrs exp in Data Science. ANd what do you think where is better scope - MLOPS, Gen AI, NLP? Thanks

Thanks a lot brother. I have seen videos on dvc but was still not confident. I have seen your mlflow video also. Can u let mw know do we use both dvc and mlflow in a project? Because both are kind of doing same things. Whats different with dvc ? Dvc tracks data as well right? and mlflow tracks model andcan registe rmodel. Kindly elaborate. Thanks a lot for the video.

Real helpful content, Awesome work! I am seeing this in 2024, what are the new and alternate tools for Mlflow?

Hello Ashutosh, thanks for this wonderful demo. I am not able to run this code - mlflow models serve --model-uri models:/iris-classifier/Production -p 1234 --no-conda What will be the alternative to this?

Hii, Ashutosh I installed it but i want to upload the csv file , there is no option available to upload csv file. How to resolve that.

Excellent Explantation!....hats off to your dedication

Getting this error while running docker compose up: => ERROR [superset-init lean 13/14] RUN ./scripts/translations/generate_mo_files.sh && chown -R superset:sup 3.9s ------ failed to solve: process "/bin/sh -c ./scripts/translations/generate_mo_files.sh && chown -R superset:superset superset/translations && rm superset/translations/messages.pot && rm superset/translations/*/LC_MESSAGES/*.po" did not complete successfully: exit code: 127

I am not finding the file incubator-superset. pls help me :(

Hi! Thanks so much fo r this- could you please provide the link to part 2 where you explain interpretation for categorical features?

Do u have more videos to upload Ashutosh!

I appreciate your teaching style. Thank you.

you did not clear the data/ path

Very informative video to start with MLOPS journey