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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


  • P

    Packt

    Sequence Modeling, Transformers, and Transfer Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Fine-tuning, Transfer Learning, Large Language Modeling, Natural Language Processing, Generative AI, Deep Learning, Artificial Neural Networks, Generative Model Architectures, Model Training, Computer Vision

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Machine Learning with PyTorch and Scikit-Learn

    Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Training, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Deep Learning, Generative AI, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Model Optimization, Machine Learning, Artificial Neural Networks, Natural Language Processing, Feature Engineering

    Intermediate · Course · 3 - 6 Months

  • D

    DeepLearning.AI

    Последовательные модели

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

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Applied Text Mining in Python

    Skills you'll gain: Text Mining, Data Preprocessing, Natural Language Processing, Data Mining, Data Processing, Classification Algorithms, Unstructured Data, Feature Engineering, Data Manipulation, Data Cleansing, Python Programming, Applied Machine Learning, Unsupervised Learning, Model Training, Supervised Learning

    ★ 4.2 (3.8K) · Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Natural Language Processing with Probabilistic Models

    Skills you'll gain: Natural Language Processing, Markov Model, Embeddings, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Algorithms, Data Cleansing, Probability & Statistics

    ★ 4.7 (1.8K) · Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    NLP – Machine Learning Models in Python

    Skills you'll gain: Model Evaluation, Dimensionality Reduction, Classification Algorithms, Text Mining, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Supervised Learning, Unsupervised Learning, Python Programming, Data Mining, Bayesian Statistics

    Intermediate · Course · 1 - 3 Months

  • E

    Edureka

    Neural Models and Machine Translation

    Skills you'll gain: Large Language Modeling, Natural Language Processing, Fine-tuning, Model Evaluation, Recurrent Neural Networks (RNNs), Transfer Learning, PyTorch (Machine Learning Library), Model Training, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Generative Model Architectures, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • E

    Edureka

    Data Streaming and NLP with PySpark

    Skills you'll gain: PySpark, Data Pipelines, Apache Spark, Dashboard Creation, Dashboard, Interactive Data Visualization, Data Processing, Real Time Data, Natural Language Processing, Distributed Computing, Deep Learning, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • B

    Board Infinity

    Transformers in Action: A Practical Approach to NLP and AI

    Skills you'll gain: Hugging Face, Model Evaluation, Model Optimization, Embeddings, Transfer Learning, LLM Application, Model Training, Recurrent Neural Networks (RNNs), Generative Model Architectures, Fine-tuning, Model Deployment, Data Preprocessing

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    시퀀스 모델

    Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Deep Learning, Embeddings, Fine-tuning, Responsible AI, Model Optimization, Data Processing, Algorithms, Data Synthesis

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Harnessing Open Source LLMs and ChatGPT with Minimal Code

    Skills you'll gain: ChatGPT, OpenAI API, Model Deployment, LLM Application, OpenAI, Tool Calling, Large Language Modeling, Application Deployment, Application Programming Interface (API), No-Code Development, Python Programming, Software Installation, Open Source Technology, Development Environment, Package and Software Management, User Interface (UI), Data Science

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    AI & Predictive Analytics with Python

    Skills you'll gain: Unsupervised Learning, Predictive Modeling, Supervised Learning, Model Evaluation, Applied Machine Learning, Predictive Analytics, Random Forest Algorithm, Text Mining, Classification Algorithms, Machine Learning Methods, Natural Language Processing, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Computational Logic, Python Programming, Image Analysis, Data Science, Data Processing, Unstructured Data

    ★ 5 (8) · Mixed · Course · 1 - 4 Weeks

1…567…10

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

  • Sequence Modeling, Transformers, and Transfer Learning: Packt
  • Machine Learning with PyTorch and Scikit-Learn: Packt
  • Последовательные модели: DeepLearning.AI
  • Applied Text Mining in Python: University of Michigan
  • Natural Language Processing with Probabilistic Models: DeepLearning.AI
  • NLP – Machine Learning Models in Python: Packt
  • Neural Models and Machine Translation: Edureka
  • Data Streaming and NLP with PySpark: Edureka
  • Transformers in Action: A Practical Approach to NLP and AI: Board Infinity
  • 시퀀스 모델: DeepLearning.AI

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