Engineering and Technology
Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.
When dealing with extensive amounts of text, it becomes essential to gain deeper insights into its content. This includes understanding the subject matter, comprehending the contextual meaning of words, identifying the actors and their actions, recognizing mentioned companies and products, and determining similarities between texts. This comprehensive course focuses on leveraging spaCy, a widely adopted and rapidly evolving Python library for Natural Language Processing (NLP), to construct sophisticated systems for understanding human language. Through this course, you will acquire the skills to develop advanced NLP models using a combination of rule-based techniques and machine learning algorithms.
by DataCamp
Learn how to use spaCy to build advanced natural language understanding systems, using both rule-bas...
by DataCamp
Learn about data science for managers and businesses and how to use data to strengthen your organiza...
by DataCamp
Learn fundamental natural language processing techniques using Python and how to apply them to extra...
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Learn about ARIMA models in Python and become an expert in time series analysis.
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Learn how to explore what's available in a database: the tables, relationships between them, and dat...
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In this course you will learn to fit hierarchical models with random effects.
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Learn to perform linear and logistic regression with multiple explanatory variables.
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Learn to perform linear and logistic regression with multiple explanatory variables.
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Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.
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Learn how to build and tune predictive models and evaluate how well they'll perform on unseen data.