Вопрос касательно оператора Linear Regression. А что, если при соединении с оператором Split Data выдаётся ошибка «Линейная регрессия не может обрабатывать полиномиальные атрибуты». Может ли эта как-то быть связана с тем, что я использую более современную версию RapidMiner?
Could you please show how to implement the same model using Neural Network (NN) or support vector machine by (SVM) with Rapidminer? In particular, I want to know how to model multi-input single as well as multi-output forecasting problem by NN or SVM.
Thank you, very well explained. Quick question: Does RapidMiner check for assumptions of linearity or normality of the data? Or is the performance result (r^2 value) enough evidence for a valid model?
Thanks a lot...i was messing with correlation matrix for hours and nominal to numerical operator helped me getting correct result.😍
Hello mr Pallab. Thank you very much for making this video!
Still awesome and useful in 2019, thank you so much.
this is exactly what i need. your explanation is very clear. you help me a lot. please keep it up!!!
Thankyou! Your explanation was crisp and clear.
thanks for the tutorial, it 's very helpful for beginner. and it very easy to understand
Sir It is very very useful. thanks a lot sir
nice and consistent presentation
God bless you professor.
Very informative
Thank You for nice explaining
Super job! Really well explained! Thank you very much sir!
great sir, thank you very much. I am just a beginner for rapidminer.
Thank you! This was extremely informative to me!!
Wonderful job at explaining. Thank you.
Could you share the data set for this video for our practice. thanks
Вопрос касательно оператора Linear Regression. А что, если при соединении с оператором Split Data выдаётся ошибка «Линейная регрессия не может обрабатывать полиномиальные атрибуты». Может ли эта как-то быть связана с тем, что я использую более современную версию RapidMiner?
Thank you so much! so helpful
from our own image data set how to split them into training and testing
Great. Thank you Professor.
thank you for your video. it is so applicable for me
Thank you for your informative video.
thanks! This videos are very clear.
Where can i find the dataset used in this video?
Thank you very much!
thanks for your video. if i have a qualitative attribute as a a target how we can build a linear regression or SVM MODELS?
Thank you very much for your videos!
Can you please tell me what option we need to check to see the 'Adjusted R-Square' inside RapidMiner?
Thank you for the video! Could you share the data set?
Why the fuel type petrol doesn't appear in the linear model?
can anyone please provide the link for dataset used in video?
Very didactic! Thank you!
Could you please show how to implement the same model using Neural Network (NN) or support vector machine by (SVM) with Rapidminer? In particular, I want to know how to model multi-input single as well as multi-output forecasting problem by NN or SVM.
Sir my select attribute window will not displaying what was the problem in that
Thank you, very well explained. Quick question: Does RapidMiner check for assumptions of linearity or normality of the data? Or is the performance result (r^2 value) enough evidence for a valid model?
can i know how to get nonlinear regression with help of rapidminer
You are awesome
Hello Professor.. please make a video on neural network model in rapidminer by dividing a dataset into two
can you provide me that data set which is using by you??
i need the name of the dataset
Thank you!!!!!!
sir please provide the datasets so that we can use it for practical purposes..
Thank you very much! The tutorial is very informative.
really good