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Basic Chatbots: Machine Learning & Python Implementation

Learn to build intelligent chatbots using Python and ML. Master NLTK, text processing, and response generation.

Learn to build intelligent chatbots using Python and ML. Master NLTK, text processing, and response generation.

This comprehensive course introduces chatbot development using machine learning and Python. Starting with fundamental concepts, students explore the differences between rule-based and self-learning chatbots, including their applications across industries. The curriculum covers ML-based chatbot architecture, NLTK library implementation, and essential text processing techniques like tokenization and lemmatization. Through hands-on projects, learners develop both rule-based and conversational chatbots, culminating in a complete chatbot development project using sophisticated techniques.

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Basic Chatbots: Machine Learning & Python Implementation

This course includes

4 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

2,435

What you'll learn

  • Understand fundamental concepts of chatbot development

  • Master NLTK library for natural language processing

  • Implement text tokenization and lemmatization techniques

  • Build rule-based and self-learning chatbots

  • Develop conversational chatbot using ML techniques

  • Integrate advanced features like Wikipedia search

Skills you'll gain

chatbot development
machine learning
NLTK
Python
text processing
NLP
response generation
ML architecture

This course includes:

181 Minutes PreRecorded video

3 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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There are 4 modules in this course

This practical course covers the fundamentals of chatbot development using machine learning and Python. Beginning with chatbot basics and their evolution, students learn to differentiate between various types of chatbots and their applications. The curriculum progresses through machine learning-based chatbot architecture and NLTK implementation, covering essential concepts like text processing, tokenization, and response generation. The course culminates in a hands-on project building a conversational chatbot, providing practical experience in all aspects of chatbot development.

Introduction

Module 1 · 17 Minutes to complete

Overview of Chatbots

Module 2 · 54 Minutes to complete

Machine Learning-Based Chatbots

Module 3 · 1 Hours to complete

Project: Conversational Chatbot Development with Machine Learning

Module 4 · 2 Hours to complete

Fee Structure

Payment options

Financial Aid

Instructor

Packt - Course Instructors
Packt - Course Instructors

10,749 Students

373 Courses

Enhancing IT Education Through Expert-Led Learning

Packt Course Instructors are dedicated to delivering high-quality educational content across a wide range of IT topics, offering over 5,000 eBooks and courses designed to improve student outcomes in technology-related fields. With a focus on practical knowledge, instructors leverage their industry expertise to create engaging learning experiences that help students grasp complex concepts and apply them effectively. The courses cover diverse subjects, from programming languages to advanced data analysis, ensuring that learners at all levels can find relevant resources to enhance their skills. Additionally, Packt emphasizes personalized learning paths and provides analytics tools for educators to monitor student engagement and success, making it a valuable partner in academic settings.

Basic Chatbots: Machine Learning & Python Implementation

This course includes

4 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

2,435

Testimonials

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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.