How to Build a Model
This series is designed for the beginner or someone new to Salford Systems' data mining products. Start building models quickly and competently.
How to Build a Classification Model in CART
This 22-minute video tutorial will teach you everything you need to know to build your first classification model using CART Classification and Regression Trees. CART is the ultimate classification tree that has revolutionized the entire field of advanced analytics.
How to Build a Regression Model in MARS
This 14-minute video tutorial will teach you everything you need to know to build your first regression model using MARS Multivariate Adaptive Regression Splines. MARS software is ideal for users who prefer results in a form similar to traditional regression while capturing essential nonlinearities and interactions.
How to Build a Classification Model in TreeNet Gradient Boosting
This 9-minute video tutorial will teach you everything you need to know to build your first classification model using TreeNet stochastic gradient boosting. TreeNet is known by major financial, marketing, and biometric institutions for its speed, accuracy, and predictability.
How to Build a Regression Model in TreeNet Gradient Boosting
This 9-minute video tutorial will teach you everything you need to know to build your first regression model using TreeNet stochastic gradient boosting. TreeNet is known by major financial, marketing, and biometric institutions for its speed, accuracy, and predictability.
How to Build a Classification Model in Random Forests
This 15-minute video tutorial will teach you everything you need to know to build your first classification model using Random Forests. Random Forests is a bagging tool that leverages the power of multiple alternative analysis, randomization strategies, and ensemble learning to produce accurate models, insightful variable importance ranking, and laser-sharp reporting on record-by-record basis for deep data understanding.
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Tags: Videos, Webinars, Tutorials, Salford-Systems