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October 7, 2024
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Master NLP with Python. Become a pro in Natural Language Processing using Python
Instructor: Packt - Course Instructors
Included with
Recommended experience
Beginner level
This course benefits aspiring data scientists, deep learning professionals, and developers interested in chatbots, Alexa, and Google Home projects.
Recommended experience
Beginner level
This course benefits aspiring data scientists, deep learning professionals, and developers interested in chatbots, Alexa, and Google Home projects.
Understand the fundamentals of NLP, regex, and lexical processing.
Understand the process and importance of text encoding in NLP.
Implement syntactic parsing methods to analyze sentence structures.
Design and develop comprehensive NLP projects from scratch.
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September 2024
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This course will teach you how machines can be trained to understand and process human language using various NLP algorithms. You'll explore lexical processing, basic syntactic processing, and mechanisms like those used by Google Translator to grasp language context and translation. One hands-on project involves building a chatbot with Rasa, which handles text- and voice-based conversations, connects to messaging channels, and integrates APIs.
You'll also learn to train your models on natural language understanding (NLU). Traditional hand-coded programs fail to handle changing inputs, so this course focuses on creating models that understand context and adapt. Even if you lack prior knowledge of machine learning and deep learning, the course covers all necessary prerequisites. By the end, you'll be proficient in building NLP models for text summarization, sentiment analysis, and entity recognition, all through real-world projects.
This course is ideal for students entering data science, professionals familiar with deep learning, and developers interested in creating chatbots or working on Alexa and Google Home projects.
Applied Learning Project
The projects in course will provide hands-on experience with NLP techniques, enabling learners to apply skills in authentic scenarios such as text data analysis, syntactic and semantic processing, and building models for tasks like spam detection and information extraction. By completing these projects, learners will gain practical expertise to solve real-world problems using NLP.
Install and set up Python and Anaconda for NLP projects.
Understand and evaluate linear regression and gradient descent methods.
Visualize data effectively with Matplotlib and Seaborn.
Apply machine learning algorithms like linear regression and KNN to NLP tasks.
Remember the basics of NLP and text encoding.
Apply regular expressions for text processing.
Implement lexical processing techniques like bag-of-words and Tf-IDF.
Create models for spelling correction and handling combined words.
Understand the fundamental concepts of semantic processing.
Analyze and implement Latent Semantic Analysis (LSA).
Apply Word2vec techniques through practical case studies.
Evaluate and execute real-world projects on semantic processing.
Packt helps tech professionals put software to work by distilling and sharing the working knowledge of their peers. Packt is an established global technical learning content provider, founded in Birmingham, UK, with over twenty years of experience delivering premium, rich content from groundbreaking authors on a wide range of emerging and popular technologies.
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This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.
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