Are you a Python developer in need of Natural Language Processing (NLP) solutions for your next project? Look no further than the Hands-on NLP with NLTK and Scikit-learn course. With a rating aggregate of 3.64937 out of 5 and 17 reviews, this course provides a complete Python guide to NLP to help you build spam filters, topic classifiers, and sentiment analyzers.
What You'll Learn
This course starts by providing you with a plain English explanation of core NLP concepts and how to apply them using Python libraries. You'll use Python 3.6, TensorFlow 1.4, NLTK 2, and Scikit-learn 0.19 for the course, which provides relevant and informative content for legacy users of NLP with NLTK and Scikit-learn.
By the end of the course, you'll have built three NLP applications: a spam filter, a topic classifier, and a sentiment analyzer. These real-world solutions are backed by machine learning and NLP processing models, so you'll leave the course with a thorough understanding of how to apply NLP to create new applications with Python.
Who Can Benefit
This course is perfect for Python developers looking to expand their knowledge of NLP. If you're working with text data, you'll be able to use the skills learned in this course to better monetize gigabytes of unstructured text data.
Whether you're a complete beginner to NLP or are looking for a refresher, the course is designed to provide you with a complete Python guide that doesn't require an extensive mathematical background.
About the Course Author
The course was created by Colibri Ltd, a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. Colibri Ltd provides deep expertise in areas such as big data, data science, machine learning, and cloud computing to help clients navigate the rapidly changing and complex world of emerging technologies.
Rudy Lai, the course instructor, is the founder of QuantCopy. Rudy has an extensive background in machine learning, including experience in quantitative trading at leading investment banks such as Morgan Stanley. He brings his industry expertise to the course to ensure that you receive up-to-date and valuable content.
What Others Are Saying
The course currently has a rating aggregate of 3.64937 out of 5 based on 17 reviews. Reviewers have emphasized the practical applications of the course, stating that the content is "relevant and pragmatic" and "not only deep, but helpful for implementation in real-life situations."
One reviewer wrote, "The course combines theory with hands-on practice and provides a really valuable introduction to these techniques for those who have not previously worked in natural language processing."
If you're a Python developer looking to expand your knowledge of NLP and create real-world solutions, the Hands-on NLP with NLTK and Scikit-learn course is an excellent option.
