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ITE_Machine_Learning_Workshop

Course Objective

i. Key components of building and applying machine learning models from data collection with emphasis on practical applications
ii. Complete process of building prediction functions including data collection, feature creation, algorithms, and evaluation

Course Content

Supplier’s proposal shall include but not limited to the following modules:

i. Prediction, relative importance of Steps, Errors, and Cross Validation

ii. Classification And Regression Training, tools for creating features and preprocessing

iii. Machine Learning Algorithms (e.g. Predicting with trees, Random Forests, & Model Based Predictions)

iv. Regularized Regression and Combining Predictors!

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Course Objective Key components of building and applying machine learning models from data collection with emphasis on practical applications Complete process of building prediction functions including data collection, feature creation, algorithms, and evaluation

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