Select Topics in Python: Natural Language Processing
Master natural language processing with Python, from basic text analysis to building chatbots using NLTK.
Master natural language processing with Python, from basic text analysis to building chatbots using NLTK.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Select Topics in Python Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
Instructors:
English
Not specified
Powered by
What you'll learn
Implement NLP workflows using Python and NLTK
Develop text analysis and preprocessing techniques
Apply various text similarity metrics effectively
Create chatbots using different approaches
Utilize pre-trained language models
Skills you'll gain
This course includes:
6.17 Hours PreRecorded video
14 app items
Access on Mobile, Desktop
FullTime access
Shareable certificate
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 3 modules in this course
This hands-on course provides a comprehensive introduction to Natural Language Processing using Python. Through three modules, students progress from basic NLP workflows to advanced language analysis techniques. The curriculum covers text preprocessing, NLTK library usage, word frequency analysis, and similarity metrics. The course culminates in building increasingly sophisticated chatbots, from simple rule-based systems to advanced models using pre-trained language models. All learning is conducted through practical, video-free assignments with runnable code examples.
NLP Basic Workflow
Module 1 · 2 Hours to complete
Methods for Analyzing Natural Language
Module 2 · 2 Hours to complete
Creating an NLP-Powered Chatbot
Module 3 · 2 Hours to complete
Fee Structure
Instructors
seasoned expert in the field of software development and data science.
Kevin Noelsaint is a seasoned expert in the field of software development and data science, known for his engaging teaching style and deep industry knowledge.
Data Science and AI Specialist at Codio
Mohit Chandarana is a Data Products and Machine Learning Research Scientist at Codio, where he focuses on leveraging data science and artificial intelligence to enhance educational outcomes in computing. With a strong background in developing insightful learning analytics, Mohit aims to bridge the gap between cutting-edge academic research and practical applications in the industry. He is actively involved in prototyping innovative product features and algorithms that support educators in delivering effective learning experiences. In addition to his role at Codio, Mohit teaches online courses on Coursera, including topics such as Natural Language Processing, further demonstrating his commitment to advancing knowledge in the field. His work not only contributes to the development of Codio's educational tools but also reflects his dedication to improving access to high-quality computing education for learners worldwide. Outside of his professional endeavors, Mohit enjoys cooking and attending live music events, showcasing his diverse interests beyond technology.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.