Predictive analysis is a technique to predict future outcomes based on previous data by extensively working on data , algorithms and Machine learning. Here are top 7 tools which are being accepted by various companies for the same :
It is an in demand data engineering tool available on cloud especially used for processing huge datasets and running them through machine learning models. Use cases which involve using Apache Spark, Delta Lake , ML workflow and TensorFlow work majorly on Databricks. The main advantage is that one can perform highly occupying maintenance tasks without having to learn complicated cluster management concepts. It majorly includes Collaborative Notebooks, optimised ML environments and complete ML lifecycles.
Dash delivers a UI based library where web applications related to analytics can be built. It is actively used by Python developers for data analysis, data exploration, modelling, visualization and generating reports. It is available in two versions : Open source and enterprise model. The open source version provides different python libraries for data analysis and visualization. The enterprise version comes with some additional features like Kubernetes, authentication and tools like GPU integration. It makes it effortless to build GUI for the data analysis code.
This company has been a gold winner for “The Best Business Intelligence and Analytics Software” in 2017. It provides an intelligence platform for business analytics which focuses on data mining and predictive analytics. It provides a platform where users can drag and drop blended data from various sources to produce workable data which can be used for analytics. It also has an expertise in automating predictive analytics for handling workflow and developing reports via integrating different algorithms.
This tool is popular among users who need as much automation as possible so that they can effortlessly work on predictive modelling without any assistance.The Jupyter notebook interface on Rapidminer platform comes with automated model selection and guided data preparation.
Mathworks practice exclusively on softwares related to mathematical computing.It’s widely used products are MATLAB and Simulink. MATLAB is useful for statistical analysis and optimisation whereas Simulink provides an environment based on graphical programming capable of simulation and modelling. It is widely used in the medical device industry for data visualization in research studies.
DataRobot is a predictive analysis software used by data scientists and business analysts from different enterprises to run machine learning algorithms. It is used by companies to handle their data models either locally or on cloud. It has proved to reduce time that would take months to process data to few weeks and even few days in few cases.
This is a company dedicated to data and analytics that encapsulates intelligence into anything.The platform enables the users to start the analytical engines by creating their own visual pipeline from various sources. It also includes templates that can be customised as per the need to swiftly create operational insights for business. This can be used for pre-built applications as well as for building their own applications for data analytics.
E2E Networks being an Nvidia partner can help you run your data models on GPU servers at an affordable price.
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