Download RapidMiner
| RapidMiner; Comprehensive data mining software
RapidMiner 9.10 x86 / x64 RapidMiner; A powerful and professional data science software product developed by the company of the same name, and with its integrated and beautiful graphical environment, allows its users to prepare data for machine learning purposes, deep learning , Text mining, analysis and forecasting. Data mining using RapidMiner is one of the most popular methods in the field of data mining that can be used even without the need for programming knowledge. Data mining is very important and popular among students and large companies; Especially these days, data and its ability to analyze and predict are among the valuable and valuable assets of any organization. Increased competition among companies, targeted decision-making of managers, the need to reduce organizational costs and increase revenue, and thus increase profits are among the factors that have increased the need for data mining and implementation of models based on machine learning.
RapidMiner is a powerful data mining software that is used in both industrial and academic environments. It provides almost all advanced analytics solutions to the data mining researcher without the need for coding. This software is developed with Java programming language and all its functions can be used by working with the graphical environment of this software. This software also has the ability to enter data mining code from programming languages such as R (R) and Python (Python) and can use and analyze data in Microsoft Acess, Oracle, IBM DB, Microsoft SQL Server, Microsoft Excel and… And run the model on them. Now you can download RapidMiner software with a direct link and for free from Yas site.
Features of RapidMiner software:
– The possibility of increasing productivity in the operation of the data science team from researchers to experts
– Ability to automate prediction models
– Having a library containing more than 1500 pre-prepared algorithms
– Having ready-made bags for forecasting and analyzing data
– Ability to communicate with any type of data source
– Support for MySQL, PostgreSQL, Google BigQuery
– Having a beautiful and user-friendly graphical environment
Pictures of the software environment:
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