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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


  • S

    Simplilearn

    Supervised Learning Regression Classification Clustering

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm

    Beginner · Course · 1 - 4 Weeks

  • 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

  • O

    O.P. Jindal Global University

    Text Mining for Marketing

    Skills you'll gain: Text Mining, Customer Analysis, Data Ethics, Data Mining, Customer Insights, Marketing Analytics, Unstructured Data, Data-Driven Marketing, Marketing, Data Processing, MarTech, Applied Machine Learning, Brand Management, Natural Language Processing, Predictive Analytics, Machine Learning, Data Preprocessing, Data Quality

    Beginner · Course · 1 - 3 Months

  • 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

  • N

    Northeastern University

    Applied Natural Language Processing in Engineering Part 1

    Skills you'll gain: Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Model Optimization, Embeddings, Machine Learning Methods, Artificial Neural Networks, Deep Learning, Machine Learning, Dependency Analysis, Supervised Learning

    Mixed · Course · 1 - 3 Months

  • U

    University of Illinois Urbana-Champaign

    Text Retrieval and Search Engines

    Skills you'll gain: Text Mining, Natural Language Processing, Data Mining, Unstructured Data, Applied Machine Learning, Web Scraping, Model Evaluation, Machine Learning Algorithms, Web Analytics and SEO, Machine Learning, Model Optimization, Network Analysis, Statistical Modeling, Probability & Statistics

    ★ 4.5 (965) · Mixed · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Natural Language Processing with Attention Models

    Skills you'll gain: Natural Language Processing, Transfer Learning, Fine-tuning, Recurrent Neural Networks (RNNs), Applied Machine Learning, Keras (Neural Network Library), Model Evaluation

    ★ 4.4 (1.1K) · Intermediate · Course · 1 - 4 Weeks

  • 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

  • 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 (265) · Beginner · Guided Project · Less Than 2 Hours

  • A

    Arizona State University

    Classification and Planned Experiments

    Skills you'll gain: Experimentation, Research Design, Statistical Modeling, Machine Learning Methods, Statistical Methods, Applied Machine Learning, Supervised Learning, Logistic Regression, Predictive Modeling, Machine Learning Algorithms, Statistical Programming, Model Training, Statistical Analysis, Statistical Inference, Simulation and Simulation Software, Probability & Statistics, Data Science, Data Visualization, Simulations, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

  • O

    O.P. Jindal Global University

    Supervised Learning and Its Applications in Marketing

    Skills you'll gain: Marketing Analytics, Supervised Learning, Customer Analysis, Customer Retention, Data-Driven Marketing, Applied Machine Learning, Predictive Analytics, Marketing, Scikit Learn (Machine Learning Library), Machine Learning Methods, AI Personalization, Customer Insights, Machine Learning, Model Deployment, Predictive Modeling, Machine Learning Algorithms, Python Programming, Personalized Service, Model Training, Model Evaluation

    Beginner · Course · 1 - 3 Months

  • I

    IBM

    AI Workflow: Feature Engineering and Bias Detection

    Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, Anomaly Detection, Exploratory Data Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Machine Learning Algorithms, Classification Algorithms, Design Thinking, Python Programming

    ★ 4.4 (82) · Advanced · Course · 1 - 4 Weeks

1…456…159

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

  • Supervised Learning Regression Classification Clustering: Simplilearn
  • Advanced Tokenization and Sentiment Analysis: Edureka
  • Text Mining for Marketing: O.P. Jindal Global University
  • Natural Language Processing with Probabilistic Models: DeepLearning.AI
  • Applied Natural Language Processing in Engineering Part 1: Northeastern University
  • Text Retrieval and Search Engines: University of Illinois Urbana-Champaign
  • Natural Language Processing with Attention Models: DeepLearning.AI
  • Transformers in Action: A Practical Approach to NLP and AI: Board Infinity
  • Fake News Detection with Machine Learning: Coursera
  • Classification and Planned Experiments: Arizona State University

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