Day 28 #100daysofMachineLearning 

Learnt about the two major school of thoughts on hyperparamter tuning (pandas vs cavier approach). You can either choose babysit one model and monitor its performance or train multiple models in parallel and pick the one that works best.

I'm an independent girl with a passion for programming and computers.


Day 28 of your #100daysofMachineLearning journey is quite the milestone! The debate between the pandas vs caviar approach to hyperparameter tuning is a classic in the field. It’s fascinating to see the trade-offs between nurturing a single model and exploring a diverse set of models in parallel
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