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8 Top Data Science Platform Developers in the World

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Top data science tools and platforms providers across the world. Useful information for data science and data analytics developers.

Data Science is a combination of multiple skills. AI and Machine Learning are part of data science. You can create AI and Machine Learning products with data. 

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The most popular tools for your data mining needs

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There are many tools available for data mining. For the only backup just look at The best Free mining tool that adds value to backup data. The listed are more popular tools.

The most popular tools for your data mining needs
Photo Credit: Srini

Rapid Miner (erstwhile YALE)

This is very popular since it is a ready-made, open source, no-coding-required software, which gives advanced analytics. Written in Java, it incorporates multifaceted data mining functions such as data preprocessing, visualization, predictive analysis, and can be easily integrated with WEKA and R-tool to directly give models from scripts written in the former two.

WEKA

This is a JAVA based customization tool, which is free to use. It includes visualization and predictive analysis and modeling techniques, clustering, association, regression, and classification.

R-Programming Tool

This is written in C and FORTRAN and allows the data miners to write scripts just like a programming language/platform. Hence, it is used to make statistical and analytical software for data mining. It supports graphical analysis, both linear and nonlinear modeling, classification, clustering, and time-based data analysis.

Python based Orange and NTLK

Python is very popular due to ease of use and its powerful features. There is an option available New fresh best Daily Python tips to your Inbox to learn more. Orange is an open source tool that is written in Python with useful data analytics, text analysis, and machine-learning features embedded in a visual programming interface. NTLK, also composed in Python, is a powerful language processing data mining tool, which consists of data mining, machine learning, and data scraping features that can easily be built up for customized needs.

Knime

Primarily used for data preprocessing – i.e. data extraction, transformation, and loading. This is also a part of data science and The 4 Most Asked Skills for Data Science Engineers really help to take the next step to learn more on data science.  Knime is a powerful tool with GUI that shows the network of data nodes. Popular amongst financial data analysts, it has modular data pipelining, leveraging machine learning, and data mining concepts liberally for building business intelligence reports.
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