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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


  • E

    Edureka

    Mastering NLP: Tokenization, Sentiment Analysis & Neural MT

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Fine-tuning, Model Evaluation, Recurrent Neural Networks (RNNs), Data Ethics, Responsible AI, Text Mining, Transfer Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Embeddings, Data Processing, Machine Learning, Data Analysis, Data Cleansing

    ★ 3.3 (7) · Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    Natural Language Processing with Real-World Projects

    Skills you'll gain: Pandas (Python Package), Matplotlib, NumPy, Embeddings, Statistical Visualization, Machine Learning Algorithms, Natural Language Processing, Applied Machine Learning, Data Manipulation, Pivot Tables And Charts, Model Optimization, Machine Learning Methods, Linear Algebra, Deep Learning, Text Mining, Classification Algorithms, Markov Model, Unsupervised Learning, Data Preprocessing, Python Programming

    ★ 4.8 (11) · Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Python NLTK for Beginners: Customer Satisfaction Analysis

    Skills you'll gain: Text Mining, Unstructured Data, Data Analysis, Natural Language Processing, Pandas (Python Package), Data Manipulation, Data Preprocessing, Python Programming

    ★ 4.8 (13) · Beginner · Guided Project · Less Than 2 Hours

  • C

    Codio

    Select Topics in Python: Natural Language Processing

    Skills you'll gain: Text Mining, Large Language Modeling, Hugging Face, Natural Language Processing, Data Processing, LLM Application, Embeddings, Data Preprocessing, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Python for Real-World Data Analysis

    Skills you'll gain: Seaborn, Data Storytelling, Data Visualization, Data Presentation, Data Integration, A/B Testing, Data Import/Export, Statistical Hypothesis Testing, Text Mining, Data-Driven Decision-Making, Git (Version Control System), Matplotlib, Pandas (Python Package), Version Control, GitHub, Social Media Analytics, Statistical Analysis, Exploratory Data Analysis, Jupyter, NumPy

    ★ 4.3 (90) · Beginner · Specialization · 1 - 3 Months

  • P

    Packt

    Mastering NLP: Foundations, ML & LLMs

    Skills you'll gain: Large Language Modeling, Retrieval-Augmented Generation, LangChain, LLM Application, Natural Language Processing, Data Ethics, Responsible AI, Text Mining, Embeddings, Deep Learning, Generative AI, Fine-tuning, Artificial Intelligence, Classification Algorithms, Machine Learning Methods, Data Preprocessing, Applied Machine Learning, Machine Learning, Model Optimization, Model Evaluation

    Intermediate · Course · 1 - 3 Months

What brings you to Coursera today?

  • I

    IBM

    Generative AI and LLMs: Architecture and Data Preparation

    Skills you'll gain: Large Language Modeling, Generative AI, Generative Model Architectures, LLM Application, Generative Adversarial Networks (GANs), Hugging Face, Data Pipelines, PyTorch (Machine Learning Library), Natural Language Processing, Data Preprocessing, Model Training, Recurrent Neural Networks (RNNs)

    ★ 4.7 (429) · Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Natural Language Processing

    Skills you'll gain: Natural Language Processing, Supervised Learning, Transfer Learning, Recurrent Neural Networks (RNNs), Markov Model, Embeddings, Dimensionality Reduction, Large Language Modeling, Machine Learning Methods, Text Mining, Statistical Machine Learning, Fine-tuning, Artificial Neural Networks, Classification Algorithms, Data Preprocessing, Deep Learning, Tensorflow, Logistic Regression, Feature Engineering, Applied Machine Learning

    ★ 4.6 (6.2K) · Intermediate · Specialization · 3 - 6 Months

  • P

    Pearson

    Introduction to Transformer Models for NLP

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

    Intermediate · Specialization · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning with Scikit-learn, PyTorch & Hugging Face

    Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Model Optimization, Convolutional Neural Networks, Model Deployment, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning Software

    ★ 4.3 (29) · Intermediate · Professional Certificate · 3 - 6 Months

    Category: Top AI Program
    Top AI Program
  • B

    Board Infinity

    Deploying Deep Learning: Quantization, Serving, and Edge AI

    Skills you'll gain: Model Deployment, Application Deployment, Model Optimization, MLOps (Machine Learning Operations), Cloud Deployment, Fine-tuning, Containerization, LLM Application, Large Language Modeling, Docker (Software), Model Evaluation, API Design, Scalability, Memory Management

    Advanced · Course · 1 - 4 Weeks

  • B

    Board Infinity

    Transformers and NLP: Fine-Tuning Models with Hugging Face

    Skills you'll gain: Model Evaluation, Fine-tuning, Model Optimization, Hugging Face, Model Deployment, Model Training, Transfer Learning, Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Performance Tuning, LLM Application, Generative Model Architectures, Data Preprocessing, Data Pipelines, Version Control, Git (Version Control System)

    Advanced · Course · 1 - 4 Weeks

1234…10

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

  • Mastering NLP: Tokenization, Sentiment Analysis & Neural MT: Edureka
  • Natural Language Processing with Real-World Projects: Packt
  • Python NLTK for Beginners: Customer Satisfaction Analysis: Coursera
  • Select Topics in Python: Natural Language Processing: Codio
  • Python for Real-World Data Analysis: Coursera
  • Mastering NLP: Foundations, ML & LLMs: Packt
  • Generative AI and LLMs: Architecture and Data Preparation: IBM
  • Natural Language Processing: DeepLearning.AI
  • Introduction to Transformer Models for NLP: Pearson
  • Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera

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