Discover apps and services related to Predictive Modeling.
Develop and evaluate models to predict future outcomes based on historical data.
WEKA is a comprehensive collection of machine learning algorithms and data preprocessing tools designed for data mining tasks. It provides a user-friendly interface for exploring data, building predictive models, and evaluating their performance.
Orange is an open-source, visual programming platform for interactive data analysis and machine learning. It offers a comprehensive suite of tools for data mining, data visualization, predictive modeling, and text analytics through a user-friendly interface.
SOFA Statistics is a user-friendly, open-source statistical package designed for researchers, analysts, and students to easily perform statistical analysis and generate reports without requiring extensive coding knowledge.
KNIME (Konstanz Information Miner) is a leading open-source platform for data science. It provides a visual workflow interface that enables users to build, train, and deploy machine learning models and data pipelines without requiring extensive coding expertise.