Machine Learning Pipelines with Azure ML Studio Duration: 2 hours What You’ll Learn: Pre-process data using appropriate modules Train and evaluate a boosted decision tree model on Azure ML Studio Create scoring and predictive experiments Deploy the trained model as an Azure web service Showcase this hands-on experience in an interview Enroll Now In this project-based course, you are going to build an end-to-end machine learning pipeline in Azure ML Studio, all without writing a single line of code! This course uses the Adult Income Census data set to train a model to predict an individual's income. It predicts whether an individual's annual income is greater than or less than $50,000. The estimator used in this project is a Two-Class Boosted Decision Tree classifier. Some of the features used to train the model are age, education, occupation, etc. Once you have scored and evaluated the model on the test data, you will deploy the trained model as an Azure Machine Learning we...
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