Natural Language Processing Demystified (Part One)
Hi HN: I published part one of my free NLP course. The course is intended to help anyone who knows Python and a bit of math go from the very basics all the way to today's mainstream models and frameworks. I strive to balance theory and practice and so every module consists of detailed explanations and slides along with a Colab notebook (in most modules) putting the theory into practice. In part one, we cover text preprocessing, how to turn text into numbers, and multiple ways to classify and search text using "classical" approaches. And along the way, we'll pick up useful bits on how to use…
In plain words
Natural Language Processing Demystified is a free educational course for Python developers with basic math knowledge seeking to learn NLP fundamentals and modern frameworks. Part one covers text preprocessing, converting text to numerical data, and classical text classification and search techniques using tools like spaCy and scikit-learn. Each module includes detailed explanations, slides, and interactive Colab notebooks demonstrating theory in practice. No registration is required to access the course.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hi HN: I published part one of my free NLP course. The course is intended to help anyone who knows Python and a bit of math go from the very basics all the way to today's mainstream models and frameworks. I strive to balance theory and practice and so every module consists of detailed explanations and slides along with a Colab notebook (in most modules) putting the theory into practice. In part one, we cover text preprocessing, how to turn text into numbers, and multiple ways to classify and search text using "classical" approaches. And along the way, we'll pick up useful bits on how to use tools such as spaCy and scikit-learn. No registration required: https://www.nlpdemystified.org/
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