Great Video Mr.Jonathan, I always recommend my students if they want to learn Machine Learning or Data Science, they should start with software's like (KNIME - RAPIDMINER - WEKA - AZURE ML-ALTERYX) and then they can start either with Python or R , Thanks!
Thanks for your comment. Yes, it's really good to be able to start with some visual tools. Gives you a great overview before diving into code. For some, this may be as much as they need.
@@JonathanNg Most of the Business Analyst they use tools such as power Bi and tablue and other tools that I mentioned, but they cost a lot .. but for beginners when they see codes written in python and R they get scared, that's why I always show them how to solve the titanic data set in rapidminer and when they understand the whole picture and each algorithm, then I teach it on python ( after giving a small crash course on python) so far this is the best and easiest way of teaching Machine learning 👍
@@fahadreda3060 I think that's a sensible approach. Power BI is actually relatively cheap (5x-10x cheaper than Tableau) and free for single users... but it also doesn't support machine learning workflows. Out of curiosity of all the visual machine learning workflow tools, why did you decide to use Rapid Miner? It's not that cheap either. Knime is free?
@@JonathanNg I started using it when I was studying for my master's degree, we had a class about data mining and our university was using rapidminer the free version, and after searching I found out about others weka and knime .. and then I attended a data science conference where I found out that most of the saudia Arabia companies are using alteryx, but I prefer to chose rapidminer because the availability of learning resource, plus its already being taught in universities, I did try all of the tools I even tried spss modeler they are all the same ( drag and drop) , but my approach is to explain basic stuff on rapidminer then I explain it again on python 👍👍
R Tidyverse is by far my favourite tool. If you're working with data everyday I think it absolutely makes sense to learn it. I think no code tools like this can 1. Aid in teaching 2. Help to visualise workflows / pipelines 3. Help casual users / non-coders do more For those that know how to code, drag and drop is far too slow and cumbersome.
Great Video Mr.Jonathan, I always recommend my students if they want to learn Machine Learning or Data Science, they should start with software's like (KNIME - RAPIDMINER - WEKA - AZURE ML-ALTERYX) and then they can start either with Python or R , Thanks!
Thanks for your comment. Yes, it's really good to be able to start with some visual tools. Gives you a great overview before diving into code. For some, this may be as much as they need.
@@JonathanNg Most of the Business Analyst they use tools such as power Bi and tablue and other tools that I mentioned, but they cost a lot .. but for beginners when they see codes written in python and R they get scared, that's why I always show them how to solve the titanic data set in rapidminer and when they understand the whole picture and each algorithm, then I teach it on python ( after giving a small crash course on python) so far this is the best and easiest way of teaching Machine learning 👍
@@fahadreda3060 I think that's a sensible approach. Power BI is actually relatively cheap (5x-10x cheaper than Tableau) and free for single users... but it also doesn't support machine learning workflows.
Out of curiosity of all the visual machine learning workflow tools, why did you decide to use Rapid Miner? It's not that cheap either. Knime is free?
@@JonathanNg I started using it when I was studying for my master's degree, we had a class about data mining and our university was using rapidminer the free version, and after searching I found out about others weka and knime .. and then I attended a data science conference where I found out that most of the saudia Arabia companies are using alteryx, but I prefer to chose rapidminer because the availability of learning resource, plus its already being taught in universities, I did try all of the tools I even tried spss modeler they are all the same ( drag and drop) , but my approach is to explain basic stuff on rapidminer then I explain it again on python 👍👍
looks cool but at the same time cumbersome. you can't get around R/tidyverse for professional work.
R Tidyverse is by far my favourite tool.
If you're working with data everyday I think it absolutely makes sense to learn it.
I think no code tools like this can
1. Aid in teaching
2. Help to visualise workflows / pipelines
3. Help casual users / non-coders do more
For those that know how to code, drag and drop is far too slow and cumbersome.