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Business analysts, data analysts, marketing analysts, marketing managers, data scientists,
data engineers, financial analysts, data miners, statisticians, mathematicians, and others who
work in correlated areas
• Apply the analytical life cycle to business need.
• Incorporate a business-problem-solving approach in daily activities.
• Prepare and explore data for analytical model development.
• Create and select features for predictive modeling.
• Develop a series of supervised learning models based on different techniques such as decision tree, ensemble of trees (forest and gradient boosting), neural networks, and support vector machines.
• Evaluate and select the best model based on business needs.
• Deploy and manage analytical models under production.
Module 1: Introduction
Module 2: Data Preparation
Module 3: Decision Trees and Ensembles of Trees
Module 4: Neural Network
Module 5: Support Vector Machines and Additional Topics
Module 6: Model Assessment and Deployment
Avantus Training began from the need to develop a skilled pool of technology talent for the community; keeping abreast of the constantly evolving IT landscape. Since, we have been recognized for our ability to be a life-long training partner and mentor for every individual.