Hyperparameter Tuning Techniques Genetic Algorithms And Optuna Data Science Machine Learning- Part 2

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Опубликовано:

15 сен 2024

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Комментарии : 24

@KA00_7 3 месяца назад

Thank you for great session

@equbalmustafa 3 года назад

please create another playlist of hyperparameter tuning and put all videos

@srikanthks2841 9 месяцев назад

Dear Sir thank you for the videos i would like to understand how we can identify the cross interaction s of parameters. In your example we have considered that each parameter is mutually exclusive. Consider an example of tobacco smoking there are multiple parameters which are corelated either positive or negative how does these algorithms consider the correlation of parameters

@sid321axn 4 года назад

Thanks krish it was a nice demo of hyper parameter tuning

@llogic4386 3 года назад

Awesome video

@lamismessaadi3893 2 года назад

thank you for this video

@suryagangadhar1735 4 года назад

Hello bhai give some examples with pdf data from spred sheets

@taiworidwan194 2 года назад

Thanks for the video, it's very helpful. Please, how can one optimize the coefficients of a Logistic Regression Model using a Genetic Algorithm?

@sajidchoudhary1165 4 года назад

Sir Please makes video on Mathematics behind on SVM Regression, AdaBoost Regression, Gradient Boost Classification

@souvikghosh6509 4 года назад

Is it possible to apply other non-coventional optimization algorithm other than Genetic Algorithm? Like Particle Swarm Optimization or Harmonic Search Algorithm etc..

@indumathyparanthaman5439 4 года назад

Hi ji how to track ur videos... I need continuity.

@pranavkushare5109 4 года назад

Sir pls upload next parts of pytorch tutorials .

@thepresistence5935 3 года назад

Loved this, Thanks! google pay is not opening

@bachuakarsh 4 года назад

Hi, Any Deep Unsupervised algorithms? Scenario: I have 5.5M those are merchant names we need to cluster it

@indumathyparanthaman5439 4 года назад

Kindly let me know how to work in a continuous manner...

@vargabghosh5497 Год назад

But using tpot can I print the values of the hyper parameter for which our model has best accuracy

@abdelroufelshomakhi6378 3 года назад

Hello krish, thanks alot for your videos, im stuck with training my neural network, but how many times i did tuning it doesnt improve, giving me high bias and high variance in most cases, another question, do u think normalization may affect my data input and respectively my data output, as u may see that the mean and variance change in a datasets so different normalized data so different outputs, am i right or wrong??

@jamesmoulds6960 4 года назад

Hi, does anyone know why we might get exactly the same accuracy scores across the different models? For example my manual hyperparameter model actually achieved the joint best accuracy score with my Optuna model.... identical to 16 decimals! Watching Krish move through the tutorials he was achieving a gradual improvement as he went along whereas my model iterations seemed to only move a minute amount? Any ideas?