EvalML AutoML Library To Automate Feature Engineering, Feature Selection,Model Creation And Tuning

[@krishnaik06]

Hello All, iNeuron is coming up with the Affordable Advanced Deep Learning, Open CV and NLP(DLCVNLP) course. This batch is starting from 17th April and the timing will be 12:30pm to 2:30pm IST on Saturdays and Sunday and it will be live sessions. Prerequisites: Python And Basic Machine Learning The course fees will be 3000 inr+18% GST. Download the syllabus and fill the form to reserve the seat ineuron1.viewpage.co/DLCVNLPAPRIL Incase of any queries you can contact the below number. 8788503778 6260726925 9538303385 8660034247 9880055539

[@bhargavikoti4208]

One more AutoML library..Thank you for video

[@temiwale88]

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

[@shikharsaxena8984]

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

[@d3v487]

Op tutorial AutoML ❤️.

[@ahmedelmanawy3581]

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

[@rgdphome8974]

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

[@venkateshyuva]

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

[@pingpong9959]

Make videos on how to automate.

[@geraldohenriquefonseca4360]

Preprocess data

[@yaswanthkosuru]

It takes lot of time

[@pyclassy]

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

[@arvindchandrasekaran9408]

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

[@KN-tx7sd]

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]

I have faced the same

[@hunkm4513]

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

[@JoEl-jx7dm]

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

[@lpis150]

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

[@raneshmitra8156]

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

[@yaminadjoudi4357]

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

[@jojushaji3010]

hai how to make prediction for a test dataset??

[@croozermonu]

Wich laptop are you using

[@AromonChannel]

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]

And do you got good accuracy?

[@AromonChannel]

@@sachinvanveru9295 yes, i got a very good accuracy

[@anasbel9266]

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 !

[@hssp1534]

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

[@Rohit-lz9os]

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]

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.

[@sowmy525]

Seems similar to Pycaret

[@avinashtiwari62]

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

[@keesaramrupesh8621]

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

[@shethromesh]

Would like to see h20 automl examples

[@vigneshpadmanabhan]

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

[@nitishsantpur2412]

Hi do you know how to do data preprocssing using Lightautoml

[@hssp1534]

how does it take care of outliers

[@livinalbertb1765]

What about H2O AutoMl library

[@ahmadalsharef3076]

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

[@MuhammadFaisal-et7bk]

What's about weka?

[@monishprakash3562]

Bro tell us about MLOne library

[@subhabratanath4822]

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.??

[@anmolvarshney4519]

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

[@Lightning_thunder_sword]

Where is feature selection?

[@suvarnadeore8810]

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]

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

[@architchaudhary1791]

It seems like a pycaret

[@harshadmane8785]

Same thing is done by pycaret

[@shrutisingh1405]

this feels like a cheat code lol

[@janet-matsen]

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

[@dailyDesi_abhrant]

EvalML is not that good, hpsklearn and tpot are better

[@Amit-sm7hv]

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 .""

[@vijaykumarsahu88]

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

[@mdshakiluzzaman9542]

How does it behave with larger datasets