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The #1 Python Data Scientist: Sentiment Analysis & More

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

Mammoth Interactive , John Bura · Udemy

Inside the course

What you’ll cover

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

Audience and starting point

Selected published requirements: “No OS requirement but the tutorials are recorded on a Mac with Google Colab”. “No experience necessary”. See the provider page for the full requirements and current tool terms

Access and subscriptions

Recorded Udemy course advertised with a public course preview. Exact lesson count may be unknown. Purchase or organization-subscription terms and current availability require checking

Learning decision: Frame one business question; make A report with an interpretation; check Data quality, uncertainty and competing explanations.
An original example for comparing learning plans. Ask whether the course teaches this task, includes practice and offers feedback; the diagram does not describe a provider’s course.

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Related skills

Recommender Systems and Deep Learning in Python

Lazy Programmer Inc. , Lazy Programmer Team

Implement collaborative filtering, matrix factorization, neural models and ranking using NumPy/Keras/TensorFlow/Spark, broad technical recommender course is adjacent to personalization marketing

15 sections • 94 lectures • 12h 49m total lengthCheck current priceEnglish
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Marketing focus

Supervised Text Classification for Marketing Analytics

University of Colorado Boulder

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

Four modules. Coursera estimates two weeks at ten hours per week. Three assignmentsCheck current priceEnglish
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