Predictive Modeling is used by the industry to predict the outcome based on available data. It could be as simple as a sales forecast to weather forecasting. Predictive Modeling has gained prominence because of the availability of data. We review the 6+ best predictive modeling software and this can be referred by data scientist, students and others who are interested in predictive modeling. Let us now look at some interesting predictive modeling tools.


Scikit-learn


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Rating: 4.4/5

Price: Free

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The software is an open source software which means it is free and commercially usable. It has tools for data analysis and data mining. It is accessible to everyone and can be used in different scenarios. It helps in various types of modeling based on classification, regression, and many other types.

KNIME


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Rating: 4.5/5

Price: Free

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It is an open source tool which is fast and easy to deploy and scale and easy to learn. It supports an end to end analytics. It is very powerful because of support for native nodes and tools integration. It has multiple connectors to connect to disparate sources of data for analysis.

OpenNN


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Rating: 4.5/5

Price: Free

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It is an open source class library which implements neural networks for deep learning. It is an advanced area and is used by advanced users. It has high performance and deep architecture thus reduces the time to process the data and come out with predictions. It can be used with your application.

Other Platforms

We have reviewed open source predictive modeling software. Most run on Linux. We will now look at software which run on other platform. This will help people to know about the modeling software which runs elsewhere. Let us have a look at these software.

Rapidminer


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Rating: 4.6/5

Price: Free

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It is an open source data analytics platform. It is free and can be downloaded and installed by any person. It can create the data and the models and then utilizes this information. It turns data into strategic asset. It has self-service predictive analytics. The software guides through the options and helps to create the dataset.

Other Platforms

We have reviewed open source predictive modeling software. Most run on Linux. We will now look at software which run on other platform. This will help people to know about the modeling software which runs elsewhere. Let us have a look at these software.

R for Linux


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Rating: 4.5/5

Price: Free

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R is an open source statistical language and available on a wide variety of platforms including Linux. It provides a high number of statistical techniques which can be extended. It has a good data handling and storage facility. It has a lot of functions for statistical operation and a graphical display to plot the data.

Orange for Mac


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Rating: 4.5/5

Price: Free

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It is a open source data visualization and data analysis software for all kinds of people. It has interactive visualization and guides through the data analysis. There are various add-on’s available to connect various data sources and perform natural language processing. It helps teachers and students to learn about data analytics.

Apache Mahout – Most Popular


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Rating: 4.6/5

Price: Free

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Apache Mahout is an open source software which provides a simple and programmatic environment for building scalable machine learning algorithms. There is a wide variety of pre made algorithms. A vector math experimentation environment which has R like syntax called Samsara is available. It helps people to build their own alogorithms.

What is Predictive Modeling Software?

With the availability of data, data analysis has become key in making informed decision. It also helps in predicting the future outcomes to a certain extent. Predictive modeling software is used to create such models. The software is mostly open source and available free. You can also see Six Sigma Software

It gives a programmatic environment to build machine learning. It helps in processing huge datasets and a graphical interface for visualization of the data. It helps data scientist work on data trends and predict what it would look like in the future. Predictive modeling software is also used by teachers and students to learn about predictive modeling.

We have reviewed 6+ Data Modeling software tools. You can download the same as it is free and evaluate it. You can choose the software which is easy to install and run and helps in your predictive modeling. It should help in data visualization and make it easy to teach and learn about data analytics.


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