MLOps with MLFlow: Working with Spacy NLP and Training NER Models
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Explore how to work with Spacy NLP models in MLflow and train a Named Entity Recognition (NER) component using custom data in this 35-minute video tutorial. Learn to integrate Spacy's natural language processing capabilities with MLflow for efficient model management and tracking. Follow along with practical demonstrations and access the accompanying code on GitHub to enhance your skills in data science and machine learning.
Syllabus
MLOps MLFlow: Work with Spacy NLP and train NER model #datascience #machinelearning
Taught by
The Machine Learning Engineer