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One more AutoML library..Thank you for video

Op tutorial AutoML ❤️.

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

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

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

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

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

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

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.

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

Seems similar to Pycaret

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

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

hai how to make prediction for a test dataset??

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

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

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

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 krish; is it evaluable for deep learning two?

What about H2O AutoMl library

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?

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

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

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

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 .""

How does it behave with larger datasets

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

Hi do you know how to do data preprocssing using Lightautoml

Would like to see h20 automl examples

how does it take care of outliers

Wich laptop are you using

Where is feature selection?

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

Same thing is done by pycaret

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.??

What's about weka?

Bro tell us about MLOne library

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

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

It seems like a pycaret

this feels like a cheat code lol

EvalML is not that good, hpsklearn and tpot are better

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