Sandy4321

may you share original data , you put in folder already transformed data but for understanding how it works original data needed

where is blog for ECLAT as mentioned in https://medium.com/machine-learning-researcher/association-rule-apriori-and-eclat-algorithm-4e963fa972a4 Association Rule(Apriori and Eclat Algorithms) with Practical Implementation

where is code for feature interactions ??

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where is code for feature interactions ?? as written in https://store.metasnake.com/xgboost 

where is Building with Docker material in code ? you mentioned chapter Building with Docker but no code ?

you wrote on amazon Whether you're working on a Kaggle competition, building a recommendation system but you do not cover xgboost use for recommendation system in book? https://www.amazon.com/Effective-XGBoost-Optimizing-Understanding-Classification/dp/1792310390?crid=2ZXB0RWPTHJIT&keywords=xgboost&qid=1686754274&sprefix=xgboost,aps,126&sr=8-2&linkCode=sl1&tag=pythonnotebook-20&linkId=3c3e3a52ceebdb38f1a5df5535c16846&language=en_US&ref_=as_li_ss_tl 

what is covered in videos ? https://store.metasnake.com/xgboost

do you have other tutorials

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great idea do you have other tutorials in addition to https://www.youtube.com/watch?v=PENruRp82_Q Ирина Деева - Фреймворк для вероятностного моделирования на основе байесовских сетей BAMT

will it work for multivariate time series prediction both regression and classification

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great code thanks may you clarify : will it work for multivariate time series prediction both regression and classification 1 where all values are continues values weight height age target...

great code thanks may you clarify : will it work for multivariate time series prediction both regression and classification 1 where all values are continues values 2 or even will...

will it work for multivariate time series classification for example mixture of categorical and continues data

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will it work for multivariate time series classification for example mixture of categorical and continues data for example at time t1 we have observation: red, 2.4 , 5, 12.456 and...