DataTechNotes

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@martin5368 15 күн бұрын

What about character count?

@KathyFarrer-h8f Ай бұрын

Lori Brooks

@prengbiba3474 2 ай бұрын

Nice video.

@renansidi2403 2 ай бұрын

Thank you for the video! Good tutorial!

@daradija 3 ай бұрын

Obsolete video because: load_boston has been removed from scikit-learn since version 1.2 for ethical reasons.

@sapandeepsandhu4410 5 ай бұрын

good stuff to learn

@100vivasvan 5 ай бұрын

Thanks for the video good sir 🙏

@lobna.hani. 5 ай бұрын

thank youuuuu

@lobna.hani. 5 ай бұрын

Thank you

@JohnSmith-p4r 5 ай бұрын

Great vid : )

@chefjuan6322 5 ай бұрын

useful video

@jd9119 7 ай бұрын

scikit is depricated.

@0xabaki 8 ай бұрын

good stuff! very nice place to get started.

@BiranchiNarayanNayak 9 ай бұрын

When to use OneClassSVM vs IsolationForest for Anomaly detection ?

@WissalBOUZID-x9u 9 ай бұрын

Hello, first thank u for the video. Ia have a question please, how to tune one class svm and calculate training performance of the model

@datatechnotes904 9 ай бұрын

Here are some common steps you can follow to tune your SVM model. 1. Learn your data, determine the class imbalance and nature of anomalies 2. Apply feature scaling and standardization. 3. Change a kernel (linear, polynomial, RBF, etc) 4. Use cross-validation 5. Do a grid search

@nesdi6653 10 ай бұрын

more, this is what I'm working on right now

@nadirzamouche9239 11 ай бұрын

Thanks! simple & straight to the point.

@nadirzamouche9239 11 ай бұрын

Thanks! simple & straight to the point.

@ryanprasad2090 Жыл бұрын

Thanks for posting this video!

@raminoureddine6342 Жыл бұрын

thank you

@alessandrorosati969 Жыл бұрын

I have the problem with the gaussian mixture models, I don't know how generate outliers uniformly in the p-parallelotope defined by the coordinate-wise maxima and minima of the ‘regular’ observations in R?

@sonic-fan-play4817 Жыл бұрын

how to provide an equation for the regression?

@applepie7282 Жыл бұрын

clear tutorial. thanks

@ramonalves2211 Жыл бұрын

Good afternoon, I would like to predict the temperature of a DC motor using this algorithm. Can I use a dataseting that contains (motor current, motor voltage, load) to find such a temperature? Thanks!

@TheEngRashed 2 жыл бұрын

Thank you so much sir. very clear very simple. Just the RMSE should be ( mes**(1/2)).

@anmol_seth_xx 2 жыл бұрын

Can anyone please tell me what does the CV MEAN score depicts here?

@victordboss5784 2 жыл бұрын

Hi....how can i get my coefficients ?? Hiw ho find which factor or features are significant ?? Ect

@mithunballoor204 3 жыл бұрын

Thanks for the tutorial! But, RMSE is square root of MSE value, right! So RMSE should be, RMSE=MSE**(1/2)

@mahtabmovahed7336 2 жыл бұрын

think again

@mithunballoor204 2 жыл бұрын

@@mahtabmovahed7336 Sorry, I didn't get you! You mean the formulae shown in the video is correct?

@jbb332 3 жыл бұрын

Why didn't you use the fuction: ''' model.coef_ ''' in your linar svm model

@AliMohammedBakhietIssa 3 жыл бұрын

it is good, keep going doctor

@Ana-rv6xm 3 жыл бұрын

Thank you very much! This is a very quick start tutorial, I like it. There is no unnecessary information.

@emeline894 3 жыл бұрын

Thank you for a quick and simple review and showing how easy you can print out the score for the model!

@videos2laugh961 3 жыл бұрын

What is xtrain and ytrain? Can you please explain why xtrain is a 2d array ytrain is a 1d array

@muratkonuklar3910 3 жыл бұрын

Plain and Crystal Clear code application ! Thanks

@datatechnotes904 3 жыл бұрын

Glad it helped

@Abafoteq-Ltd 3 жыл бұрын

Good one.... Thank you

@rogerqu628 4 жыл бұрын

Thanks, your video is very helpful. Can you tell me how to construct a multiclass svm function using this linearSVC ?

@johncopeland765 4 жыл бұрын

Great content, just subbed! You deserve more subs, I think you should use Smzeus”.”com to help grow your channel!

@IntrovertedE 4 жыл бұрын

Where is the data? You can't just spit out code and not show us the data you're operating on! That does not contribute to understanding as you're hiding a key piece of information around how this works.

@datatechnotes904 4 жыл бұрын

The data is in a 'sklearn.dataset' package, you can load it by using the load_boston() function. And it is clearly mentioned in tutorial

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