Packt
Basics of Chatbots with Machine Learning & Python

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Packt

Basics of Chatbots with Machine Learning & Python

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

4 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

4 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Define the fundamental concepts of rule-based and self-learning chatbots.

  • Explain the architecture of machine learning-based chatbots and the role of the NLTK library.

  • Develop chatbots using Python and implement text tokenization, lemmatization, and response generation.

  • Differentiate between rule-based and self-learning chatbot mechanisms.

Details to know

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Recently updated!

October 2024

Assessments

3 assignments

Taught in English

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There are 4 modules in this course

In this module, we will introduce the course, outlining the instructor’s credentials and AI Sciences' expertise. We’ll also provide a brief overview of the course structure and delve into key chatbot technologies, including machine learning-based and conversational chatbots.

What's included

5 videos1 reading

In this module, we will explore the origins of chatbots, their advancements, and their modern-day uses. You'll learn how chatbots differ from virtual and personal assistants, and investigate the various types, benefits, and challenges associated with them.

What's included

13 videos1 assignment

In this module, we will dive into machine learning-powered chatbots, covering their architecture and the critical role of the Natural Language Toolkit (NLTK) in development. You'll gain hands-on experience building a rule-based chatbot, learning about various ML features that enhance chatbot performance.

What's included

16 videos

In this module, we will guide you through a complete project, where you’ll develop a conversational chatbot using the NLTK library. From gathering data to creating intelligent responses, you’ll build and test a fully functioning chatbot capable of engaging users in conversation.

What's included

10 videos2 assignments

Instructor

Packt - Course Instructors
Packt
372 Courses10,422 learners

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