Great Product - If you're not a coder
October 21, 2016
Great Product - If you're not a coder
Score 7 out of 10
Vetted Review
Verified User
Overall Satisfaction with RapidMiner Studio
RapidMiner has primarily been used in our analytics department for modeling purposes and data mining tasks. Creation of reports and data cleaning can be done through RapidMiner.
Pros
- If you have people on your team that are new to analytics and do not have programming experience in Sas, R or Python, RapidMiner is the way to go.
- The module based approach of RapidMiner is very useful, they have a heavy community support and one of my favorite features is the suggestions they give by telling you that such and such step was the most common one used after a transformation or an import etc...
Cons
- RapidMiner is great for people with no programming experience but I have found that certain tasks that would normally take very little code to do can often become very convoluted with RapidMiner. I am talking about tasks like filtering and subsetting and other transformation type tasks.
- We have used and tested RapidMiner and it has been useful for certain analysis and making decision trees and such but we always end up going back to Python or R to do most of our work because it is much more flexible. You can embed Python or R in RapidMiner but if you are going to do this you may as well do everything in Python or R.
- Python, Jupyter Notebook, JupyterHub and R statistical programming
You simply cannot do everything with RapidMiner, it is just one tool in your arsenal. I like using Python directly much better with tools such as Jupyter Notebook in conjunction with JupyterHub.
Comments
Please log in to join the conversation