Marketing focus
Practical workflow defines a codebook and gold labels, constructs a feature matrix, trains an elastic-net text classifier, then validates on held-out data using metrics and learning curves, Python/scikit-learn/TensorFlow are listed
University of Colorado Boulder · Coursera
Listed level: Beginner — explicitly published in the course metadata
Practical workflow defines a codebook and gold labels, constructs a feature matrix, trains an elastic-net text classifier, then validates on held-out data using metrics and learning curves. Python/scikit-learn/TensorFlow are listed
Selected requirements in the publisher course metadata: “Basic proficiency in Python including basic Python logic and data structures, Python’s built-in functions, and Python package pandas”. Current accounts, software and full prerequisites require the provider page
The official provider listing offers an online course entry point. Sign-in, enrollment, checkout and learner access were not tested
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Build a positive/negative review classifier in a ten-lesson/79-minute project after Python/NumPy/pandas/ML/TensorFlow foundations, the whole course counts once and is adjacent technical training