Python Machine Learning Advanced (Self-Paced)

Self-paced online training with expert support

Natural Language Processing (NLP) and production-ready Flask applications anchor this hands-on course, which covers preparing and cleaning text data, running sentiment analysis, and assembling a machine learning-driven recommendation engine with techniques such as TF–IDF vectorization and cosine similarity.

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This course includes

  • Project-based training from experts
  • Answers from real instructors
  • Retake for free within 1 year
  • Access to class recordings (30 days)
  • Verified digital certificate of completion

This is the self-paced course. For live instruction, enroll in Python Machine Learning Advanced.

Natural Language Processing (NLP) sits at the center of this hands-on, self-paced course, alongside the practical skills that go into Flask web apps applying machine learning to real situations. RegEx and lemmatization handle the cleaning and structuring of text, Naive Bayes, TextBlob, and Vader drive the sentiment analysis, and TF–IDF with cosine similarity produces a movie recommendation system. Flask basics, dynamic HTML templating, and API integration for live data are covered too. Deployment of a finished Movie Recommender App closes the course and leaves you with practical experience in applied machine learning and web development.

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Sunlit data science classroom
One-on-one training in NYC
Outside NYIM’s office at 34th & Madison
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