Analyze Datasets and Train ML Models using AutoML
https://www.coursera.org/learn/automl-datasets-ml-models
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.
Categoria: Data Science
Subcategoria: Machine Learning
Tipo de Curso: Course
Habilidades: Statistical Data Bias Detection,Multi-class Classification with FastText and BlazingText,Data ingestion,Exploratory Data Analysis,Automated Machine Learning (AutoML),
Idioma: English
Subtitulos: English
Rating: 4.6stars
Vistas: 364
Sitio Web: Coursera
Duracion: Approx. 14 hours to complete
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