In the first course of the Practical Data Science Specialization, you will learn foundational concepts for exploratory data analysis (EDA), automated machine learning (AutoML), and text classification algorithms. With Amazon SageMaker Clarify and Amazon SageMaker Data Wrangler, you will analyze a dataset for statistical bias, transform the dataset into machine-readable features, and select the most important features to train a multi-class text classifier.
You will then perform automated machine learning (AutoML) to automatically train, tune, and deploy the best text-classification algorithm for the given dataset using Amazon SageMaker Autopilot. Next, you will work with Amazon SageMaker BlazingText, a highly optimized and scalable implementation of the popular FastText algorithm, to train a text classifier with very little code.Lee mas.
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Las técnicas y herramientas cubiertas en Analyze Datasets and Train ML Models using AutoML son muy similares a los requisitos que se encuentran en los anuncios de trabajo de Científico de datos.
Analyze Datasets and Train ML Models using AutoML is a part of uno structured learning path.
3 Courses
3 Months
Practical Data Science
