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Excellent video, love the thorough walkthrough and diagrams!
Glad it helped!
I appreciate this video very much. God, I miss sklearn.
No need to miss it, because it has never gone away
Brilliant talk, Vincent.
Happy to hear it. Any requests for future videos?
May be short case studies? And modeling on datasets using different techniques? I personally would like about 5-15 minutes videos (though not sure about others - models may be created once you have enough videos to predict what people watch more!)
@@probabl_ai yes, please make a video about dimensionality reduction and visualisations. (UMAP in particular)
I have data from a meteorological station with missing values at night due to the battery running out. Any suggestions on how to deal with that?
Get a bigger battery.
It might depend on the usecase for this data, if you never care about making predictions when you're out of battery then it might be fine?
Excellent video, love the thorough walkthrough and diagrams!
Glad it helped!
I appreciate this video very much. God, I miss sklearn.
No need to miss it, because it has never gone away
Brilliant talk, Vincent.
Happy to hear it. Any requests for future videos?
May be short case studies? And modeling on datasets using different techniques? I personally would like about 5-15 minutes videos (though not sure about others - models may be created once you have enough videos to predict what people watch more!)
@@probabl_ai yes, please make a video about dimensionality reduction and visualisations. (UMAP in particular)
I have data from a meteorological station with missing values at night due to the battery running out. Any suggestions on how to deal with that?
Get a bigger battery.
It might depend on the usecase for this data, if you never care about making predictions when you're out of battery then it might be fine?