Building Text Classification Models in NLP

  • IntermediateLevel

  • 1500+Students Enrolled

  • 1 Hr 10 MinsDuration

  • 4.8Average Rating

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About this Course

  • This course introduces text classification using NLP, covering key techniques and practical applications to build efficient and scalable models.
  • Learn essential NLP techniques, preprocessing methods, and model-building strategies to develop accurate text classification systems.
  • Explore the fundamentals of natural language processing, understand feature engineering, and implement deep learning models for text classification.

Learning Outcomes

Learn NLP Fundamentals

Understand the basics of NLP and its applications.

Master Text Preprocessing

Use tokenization, stemming, and vectorization for text processing.

Build NLP Models

Train and evaluate machine learning models for text classification.

Who Should Enroll

  • Aspiring data scientists and machine learning enthusiasts eager to explore NLP and build text classification models.
  • Students and professionals in AI and data science looking to enhance their skills in natural language processing.
  • Developers and researchers interested in applying NLP techniques for automating text analysis and classification tasks.

Course Curriculum

Explore a comprehensive curriculum covering Python, machine learning models, deep learning techniques, and AI applications.

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  1. 1. What is NLP?

  2. 2. Common NLP Tasks

  3. 3. Key NLP Libraries

  4. 4. Text Preprocessing Methods - Part 1

  5. 5. Text Preprocessing Methods - Part 2

  6. 6. Text Preprocessing Methods - Part 3

  1. 1. Understanding the Dataset & Problem

  2. 2. Building a Basic Text Classifier

  3. 3. TF-IDF & Feature Engineering

Meet the instructor

Our instructor and mentors carry years of experience in data industry

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Apoorv Vishnoi

Head of Training

Apoorv is a seasoned AI professional with over 14 years of experience. He has founded companies, worked at start-ups and mentored start-ups at incubation cells.

Get this Course Now

With this course you’ll get

  • 1 Hour 10 Mins

    Duration

  • Apoorv Vishnoi

    Instructor

  • Intermediate

    Level

Certificate of completion

Earn a professional certificate upon course completion

  • Globally recognized certificate
  • Verifiable online credential
  • Enhances professional credibility
certificate

Frequently Asked Questions

Looking for answers to other questions?

Basic knowledge of Python and machine learning concepts is recommended. However, beginners with an interest in NLP can also follow along with the provided resources.

Yes, you will receive a certificate of completion once you successfully finish all lessons and quizzes in the course.

You will have lifetime access to the course materials, so you can learn at your own pace and revisit the content anytime.

Yes, the course includes practical assignments and quizzes to help reinforce your learning and give you hands-on experience with text classification in NLP.

You will need Python and libraries like NLTK, scikit-learn, and TensorFlow. The course provides guidance on setting up the required environment.

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