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Text Classification Courses

Text classification courses can help you learn techniques for categorizing text data, building machine learning models, and evaluating performance metrics. You can develop skills in natural language processing, feature extraction, and data preprocessing. Many courses introduce tools like Python libraries such as scikit-learn and TensorFlow, that support implementing algorithms and refining models.


Popular Text Classification Courses and Certifications


  • E

    Edureka

    Advanced Tokenization and Sentiment Analysis

    Skills you'll gain: Natural Language Processing, Data Ethics, Responsible AI, Text Mining, Large Language Modeling, Model Evaluation, Embeddings, Data Preprocessing, Fine-tuning, Artificial Intelligence and Machine Learning (AI/ML), Time Series Analysis and Forecasting, Data Analysis, Data Cleansing, Data Processing, Classification Algorithms, Applied Machine Learning, Real Time Data, Deep Learning, Unified Modeling Language, Machine Learning Algorithms

    Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Preparing Text for AI Models

    Skills you'll gain: Data Ethics, Data Validation, Generative AI, Prompt Engineering, Data Cleansing, Data Quality, Data Preprocessing, Large Language Modeling, Text Mining, Hugging Face, Data Collection, Quality Assurance, Unstructured Data, Fine-tuning, Data Transformation, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Model Training, Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    ★ 4.6 (19) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • C

    Coursera

    Basic Image Classification with TensorFlow

    Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Model Training, Tensorflow, Image Analysis, Artificial Neural Networks, Applied Machine Learning, Network Model, Deep Learning, Computer Vision, Machine Learning, Network Architecture

    ★ 4.6 (848) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • P

    Packt

    RNN Architecture and Sentiment Classification

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Model Optimization, Large Language Modeling, Text Mining, Artificial Neural Networks, Natural Language Processing, Classification Algorithms, Model Training, Deep Learning, Applied Machine Learning, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Fake News Detection with Machine Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Exploratory Data Analysis, Deep Learning, Text Mining, Plot (Graphics), Artificial Neural Networks, Data Cleansing, Data Import/Export, Data Preprocessing, Natural Language Processing, Model Training, Applied Machine Learning, Python Programming, Machine Learning, Automation

    ★ 4.6 (264) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • U

    University of Colorado Boulder

    Classification Analysis

    Skills you'll gain: Classification Algorithms, Analytical Skills, Data Analysis, Model Evaluation, Logistic Regression, Applied Machine Learning, Supervised Learning, Decision Tree Learning, Machine Learning Algorithms, Machine Learning Methods, Predictive Modeling, Feature Engineering, Fine-tuning, Model Training, Bayesian Statistics

    ★ 5 (7) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    NLP: Twitter Sentiment Analysis

    Skills you'll gain: Model Evaluation, Model Training, Exploratory Data Analysis, Data Cleansing, Text Mining, Scikit Learn (Machine Learning Library), Probability & Statistics, Natural Language Processing, Data Preprocessing, Social Media Analytics, Unstructured Data, Classification Algorithms, Python Programming, Applied Machine Learning, Machine Learning, Automation

    ★ 4.6 (374) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • C

    Coursera

    Tweet Emotion Recognition with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Model Optimization, Python Programming, Model Training, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Artificial Neural Networks, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning

    ★ 4.5 (174) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • P

    Packt

    Applied NLP and Generative AI

    Skills you'll gain: Prompt Engineering, Vector Databases, Retrieval-Augmented Generation, Fine-tuning, Model Evaluation, Hugging Face, Generative AI, Dimensionality Reduction, Model Optimization, Natural Language Processing, OpenAI API, Data Preprocessing, Embeddings, Classification Algorithms, Text Mining, Applied Machine Learning, Statistical Machine Learning, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms

    Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Colorado Boulder

    Fundamentals of Natural Language Processing

    Skills you'll gain: Natural Language Processing, Model Evaluation, Model Optimization, Embeddings, Text Mining, Logistic Regression, Model Training, Statistical Modeling, Machine Learning Methods, Markov Model, Classification Algorithms, Data Preprocessing, Supervised Learning

    ★ 3.9 (17) · Intermediate · Course · 1 - 4 Weeks

    Category: Build toward a degree
    Build toward a degree
  • C

    Coursera

    Sentiment Analysis with Deep Learning using BERT

    Skills you'll gain: Model Optimization, Model Evaluation, Large Language Modeling, Data Preprocessing, Model Training, Fine-tuning, Data Cleansing, PyTorch (Machine Learning Library), Transfer Learning, Deep Learning, Natural Language Processing, Exploratory Data Analysis, Test Data, Machine Learning

    ★ 4.4 (398) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
1…456…157

In summary, here are 10 of our most popular text classification courses

  • Advanced Tokenization and Sentiment Analysis: Edureka
  • Preparing Text for AI Models: Coursera
  • Scikit-Learn For Machine Learning Classification Problems: Coursera
  • Basic Image Classification with TensorFlow: Coursera
  • RNN Architecture and Sentiment Classification: Packt
  • Fake News Detection with Machine Learning: Coursera
  • Classification Analysis: University of Colorado Boulder
  • NLP: Twitter Sentiment Analysis: Coursera
  • Tweet Emotion Recognition with TensorFlow: Coursera
  • Applied NLP and Generative AI: Packt

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