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Thank you for exposing me/us to this library! Wonderful Krish!

One more AutoML library..Thank you for video

Valuable video about Auto machine learning and very easy to install this package "evalml" thanks alot

Very helpful video Krish sir👏😊, feature engine is also a good library for feature selection and data pre processing

Op tutorial AutoML ❤️.

Hi Krish, Thanks for the video. Just wanted to check will this automl also take care of the outliers

Nice Sir. Please if we use for production, the vulnerabilities will effect the result. More than 50% result is okeyed. Manually intervention required.

thank you krish; is it evaluable for deep learning two?

Hi krish can you make any video on convLSTM with explanation.

how was logistic regression the best as per automl rankings..? please explain

Thanks a lot. How to deal with scaling in evalml?? After applying minmaxscaler to my data, the MSE in best_pipeline.score becomes extremely score. After reversing the scaling, the shape becomes incoherent

When everything is automated, what will be the role of an engineer?

@pingpong9959

3 жыл бұрын

Make videos on how to automate.

@geraldohenriquefonseca4360

2 жыл бұрын

Preprocess data

@yaswanthkosuru

Жыл бұрын

It takes lot of time

is it possible for us to check how the fitted data looks like after transformation ?

krish what a video , thank you so much ! can you please provide the link to the dataset that you used , that would be phenomeneal, thank you in advance !

Thank you for the information How do we define X and Y here? We stated it as binary during splitting, what if more than one feature comprises of binary observations?

@dipankarnandi7708

Жыл бұрын

Your X will be the independent value and youe Y would be dependent. Based that you need to first see which is the Y or target label here. In titanic dataset, the survived column was the target label which was giving 0 or 1 for dead or alive cases.

Interesting but how we can handle to outliers traditional logistic regression?

How does it behave with larger datasets

Can't we able to use AutoML library for unsupervised learning ..?

hai how to make prediction for a test dataset??

how does it take care of outliers

Would like to see h20 automl examples

Hi do you know how to do data preprocssing using Lightautoml

Kris make Data Table data structure video at the earliest.........

Krish Naik Make a video on FEDOT AUTO ML Tool.Which Auto ML tool is more mature among all the auto ML tools?

Sir, the newer version of several packages in python is incompatible with EvalMl rendering it completely unusable. Deprecation of several installed packages is required which creates a loop of incompatibility errors.

@krunalgandhare4026

Жыл бұрын

I have faced the same

Hello sir, there is some issue in the time of installing 'evalml' on my local system. basically shap requirement is failing and some other stuff which I can't figure out. so sir please suggest to me how I can work with this library on my local system. help me with the installation. also in google colab, i am not getting any visualize Plotly graph as shown in the video. can you help me with that too.??

Wich laptop are you using

What's about weka?

Bro tell us about MLOne library

what the heck, i'm surprise how quick and accurate this algorithm, i have over 100k row data with 1k features, and it do it like probably 10-15 minutes

@sachinvanveru9295

2 жыл бұрын

And do you got good accuracy?

@AromonChannel

2 жыл бұрын

@@sachinvanveru9295 yes, i got a very good accuracy

can anyone help my system is unable to import evalml even i have installed it.

What's the future of ml engineer if everything is being automated

@JoEl-jx7dm

Жыл бұрын

You found your answer? Coz I am searching for it right now?

Seems similar to Pycaret

What about H2O AutoMl library

I got this error after executing evalml.preprocessing.split_data ........... X_train, X_test, y_train, y_test = evalml.preprocessing.split_data(X, y, problem_type='binary') TypeError: split_data() got an unexpected keyword argument 'problem_type' -----any guidance appreciated .Thank you

@ranjansutradhar1046

3 жыл бұрын

It means the binary or classification problem that you have selected does not validate in your model because you're feature model may have continuous attributes try using regression as problem type

It seems like a pycaret

Same thing is done by pycaret

Where is feature selection?

this feels like a cheat code lol

EvalML is not that good, hpsklearn and tpot are better

As a woman listener, I'd prefer if you don't always address your audience with male pronouns.

Please guide me, because while implementing a code for my bank project, i am getting following error: ""All pipelines in the current AutoML batch produced a score of np.nan on the primary objective .""

ImportError: cannot import name 'DiversityScore' from 'featuretools.primitives' (C:\Users\HP\anaconda3\lib\site-packages\featuretools\primitives\__init__.py) sir this error show plzz solve my issue