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Natural Language Toolkit (NLTK) Courses

Courses in Natural Language Toolkit (nltk) can help you learn text processing, sentiment analysis, language modeling, and tokenization. You can build skills in parsing text, creating word frequency distributions, and implementing machine learning algorithms for language tasks. Many courses introduce tools like Python and various libraries for natural language processing, allowing you to apply your skills in projects that involve chatbots, text classification, and information retrieval.

Popular NLTK Courses and Certifications


  • U

    Universidad Austral

    NLP System Architecture and Dev-Ops

    Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Application Lifecycle Management, Systems Architecture, Application Development, Algorithms, Software Architecture, Model Evaluation, Machine Learning Algorithms, Software Development Life Cycle, Model Deployment

    Beginner · Course · 1 - 4 Weeks

  • E

    Edureka

    Analytics Engineering Workflows with dbt

    Skills you'll gain: Data Quality, SQL, YAML, Data Pipelines, Data Validation, CI/CD, Data Modeling, Collaborative Software, Data Transformation, Data Integrity, Code Reusability, Version Control, Git (Version Control System), Technical Documentation, Metadata Management, Maintainability, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • P

    Pearson

    Introduction to Transformer Models for NLP: Unit 1

    Skills you'll gain: Fine-tuning, PyTorch (Machine Learning Library), Transfer Learning, Natural Language Processing, Large Language Modeling, LLM Application, Generative Model Architectures

    Intermediate · Course · 1 - 4 Weeks

  • L

    LearnKartS

    Branching and Merging in Git

    Skills you'll gain: Git (Version Control System), Version Control, IntelliJ IDEA, Integrated Development Environments, Software Development Tools, Microsoft Visual Studio, Eclipse (Software), Software Versioning, Release Management, Software Development

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Natural Language Processing with Classification and Vector Spaces

    Skills you'll gain: Natural Language Processing, Supervised Learning, Embeddings, Dimensionality Reduction, Machine Learning Methods, Text Mining, Statistical Machine Learning, Classification Algorithms, Logistic Regression, Feature Engineering

    ★ 4.6 (4.6K) · Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    النماذج المتعاقبة

    Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Natural Language Processing, Artificial Neural Networks, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Building Vision and NLP Workflows with TensorFlow pipelines

    Skills you'll gain: Model Evaluation, Image Analysis, Computer Vision, Vision Transformer (ViT), Tensorflow, Keras (Neural Network Library), AI Workflows, Model Training, Embeddings, Deep Learning, Large Language Modeling, Natural Language Processing, Model Deployment, Model Optimization, Data Pipelines, Risk Modeling, Data Preprocessing

    Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Сверточные нейронные сети

    Skills you'll gain: Convolutional Neural Networks, Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Transfer Learning, Network Architecture, Model Training, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • P

    Pearson

    Quick Start Guide to Large Language Models (LLMs): Unit 1

    Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, Retrieval-Augmented Generation, ChatGPT, Natural Language Processing, Generative AI Agents, Generative AI, Generative Model Architectures, Deep Learning

    Intermediate · Course · 1 - 4 Weeks

  • P

    Pearson

    Introduction to Transformer Models for NLP: Unit 3

    Skills you'll gain: Vision Transformer (ViT), Model Deployment, Transfer Learning, Hugging Face, MLOps (Machine Learning Operations), Cloud Deployment, Large Language Modeling, Generative AI, Fine-tuning, Computer Vision, Image Analysis, Generative Model Architectures, Natural Language Processing, Application Deployment

    Intermediate · Course · 1 - 4 Weeks

  • P

    Pearson

    Introduction to Transformer Models for NLP: Unit 2

    Skills you'll gain: Prompt Engineering, Fine-tuning, Large Language Modeling, Natural Language Processing, Generative AI, Transfer Learning, Generative Model Architectures, Model Training, Embeddings, Data Preprocessing

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Natural Language Processing in TensorFlow

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Generative AI, Artificial Neural Networks, Text Mining, Model Training, Applied Machine Learning, Data Preprocessing, Machine Learning, Data Processing

    ★ 4.6 (6.5K) · Intermediate · Course · 1 - 4 Weeks

1…456…10

In summary, here are 10 of our most popular nltk courses

  • NLP System Architecture and Dev-Ops: Universidad Austral
  • Analytics Engineering Workflows with dbt: Edureka
  • Introduction to Transformer Models for NLP: Unit 1: Pearson
  • Branching and Merging in Git: LearnKartS
  • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
  • النماذج المتعاقبة: DeepLearning.AI
  • Building Vision and NLP Workflows with TensorFlow pipelines: Coursera
  • Сверточные нейронные сети: DeepLearning.AI
  • Quick Start Guide to Large Language Models (LLMs): Unit 1: Pearson
  • Introduction to Transformer Models for NLP: Unit 3: Pearson

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