July 2018
Beginner to intermediate
2h 46m
English
Closed Captioning available in English
Overview
In this 2 hour course, you'll delve into practical natural language processing using Python and libraries like NLTK and scikit-learn. Gain hands-on experience by building solutions such as spam filters, sentiment analyzers, and topic classifiers while enhancing your understanding of key NLP concepts and tools.
What I will be able to do after this course
- Develop practical NLP solutions using Python libraries such as NLTK and scikit-learn.
- Understand and implement text preprocessing techniques like tokenization and stop word removal.
- Learn how to classify emails, categorize documents, and analyze sentiment using NLP techniques.
- Apply machine learning methods like TF-IDF, SVMs, and LDA to analyze textual data.
- Boost your proficiency in Python-based NLP applications addressing real-world problems.
Course Instructor(s)
James Cross, an expert in data science and Python development, brings a wealth of experience in natural language processing and applied machine learning to this course. With an engaging teaching approach, James simplifies complex topics, ensuring learners feel confident and accomplished.
Who is it for?
This course is tailored for developers and data scientists eager to explore natural language processing using Python. If you have experience in Python programming and a basic understanding of machine learning concepts like classification, but want to build hands-on NLP projects, this course is ideal for you.
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