@AIEngineering The videos are very Informative, any videos related to Kubeflow pipelines(MLOPS) how to import prebuild model, select best model from multiple models, how to handle data drift ,Monitoring the results on GCP, could you please upload related videos. Thank you very much for uploading videos on GCP.
Much appreciated for the Video, May I please know machine capacity used for training a model based on your experience, what is your biggest data size you have trained, How many Records and Columns, What capacity machine used like, if CPU how many cores and RAM is required for that data, if GPU how much? for eg: a LGBM, XGB or Keras Sequential model with hyperparameters Tuning considering the data is cleaned, Thank you very much in Advance.
@AIEngineering The videos are very Informative, any videos related to Kubeflow pipelines(MLOPS) how to import prebuild model, select best model from multiple models, how to handle data drift ,Monitoring the results on GCP, could you please upload related videos. Thank you very much for uploading videos on GCP.
True, it would be interesting.
Very much useful content. Thank you very much sir...
Thanks for this video
Much appreciated for the Video, May I please know machine capacity used for training a model based on your experience, what is your biggest data size you have trained, How many Records and Columns, What capacity machine used like, if CPU how many cores and RAM is required for that data, if GPU how much? for eg: a LGBM, XGB or Keras Sequential model with hyperparameters Tuning considering the data is cleaned, Thank you very much in Advance.
could you please share the code.
that code Is to build the infra right?
Can you pls share the .yaml files