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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


  • C

    Coursera

    ChatGPT for Beginners: Save time with Microsoft Excel

    Skills you'll gain: ChatGPT, Microsoft Excel, Excel Formulas, Data Cleansing, Text Mining, Data Manipulation, AI Enablement, Unstructured Data, Generative AI, Prompt Engineering, Business Analytics, Data Management

    ★ 4.7 (457) · Intermediate · Guided Project · Less Than 2 Hours

    Status: Free Trial
    Free Trial
  • M

    Microsoft

    Building AI Cloud Apps with Microsoft Azure

    Skills you'll gain: GitHub Copilot, Responsible AI, Cloud Development, Microsoft Azure, Anomaly Detection, Image Analysis, Prompt Engineering, Prompt Patterns, Cloud Applications, Software Development, Text Mining, Unsupervised Learning, Cloud Deployment, Natural Language Processing, Data Store, Cloud Hosting, Data Storage, Computer Vision, Cloud Computing, Machine Learning

    ★ 4.4 (782) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
  • G

    Google

    Automate Cybersecurity Tasks with Python

    Skills you'll gain: Debugging, Python Programming, Cybersecurity, Programming Principles, File I/O, IT Automation, Data Import/Export, Algorithms, Automation, Program Development, Computer Programming, File Management, Maintainability

    ★ 4.8 (3.6K) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • U

    University of California San Diego

    Big Data

    Skills you'll gain: Apache Spark, Model Evaluation, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Classification Algorithms, Graph Theory, Data Pipelines, Network Model, Model Training, Database Design, Data Modeling, Regression Analysis, Data Mining, Data Management, Data Infrastructure, Data Presentation, Data Processing, MongoDB

    ★ 4.6 (14K) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
  • B

    Birla Institute of Technology & Science, Pilani

    Introduction to Machine Learning

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Feature Engineering, Machine Learning Methods, Machine Learning Algorithms, Statistical Machine Learning, Predictive Modeling, Model Training, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Regression Analysis, Bayesian Statistics, Artificial Intelligence and Machine Learning (AI/ML), Logistic Regression, Classification Algorithms, Decision Tree Learning, Model Optimization, Data Preprocessing, Probability & Statistics

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Category: Preview
    Preview
    Category: Build toward a degree
    Build toward a degree
  • W

    Whizlabs

    AWS: AI Services

    Skills you'll gain: AI Personalization, Amazon Web Services, Image Analysis, Artificial Intelligence, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Text Mining, AI Workflows, AI Integrations, Applied Machine Learning, Unstructured Data

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
  • J

    Johns Hopkins University

    Practical Machine Learning

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Model Training, Machine Learning Methods, Feature Engineering, Supervised Learning, Machine Learning Software, Classification And Regression Tree (CART), Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis

    ★ 4.5 (3.3K) · Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Model Optimization, Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Transfer Learning, Autoencoders, Generative AI, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Generative Model Architectures, Model Training, Logistic Regression, Image Analysis, Applied Machine Learning, Regression Analysis

    ★ 4.5 (4.3K) · Intermediate · Professional Certificate · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: AI skills
    AI skills
  • I

    IBM

    Generative AI: Introduction and Applications

    Skills you'll gain: Generative AI, ChatGPT, AI literacy, Artificial Intelligence and Machine Learning (AI/ML), Augmented and Virtual Reality (AR/VR), Machine Learning, Data Synthesis

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

    Status: Free Trial
    Free Trial
  • M

    Meta

    Introduction to Front-End Development

    Skills you'll gain: Bootstrap (Front-End Framework), Responsive Web Design, Hypertext Markup Language (HTML), HTML and CSS, Front-End Web Development, Cascading Style Sheets (CSS), React.js, Web Design, UI Components, User Interface (UI), Web Development, Web Applications, Full-Stack Web Development, Code Reusability, Web Development Tools, TCP/IP, Web Servers

    ★ 4.8 (14K) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • P

    Packt

    Data Analysis with Polars and Python

    Skills you'll gain: Data Cleansing, Data Manipulation, Data Wrangling, Data Integration, Data Transformation, Data Quality, Time Series Analysis and Forecasting, Data Processing, Pivot Tables And Charts, Data Analysis Software, Text Mining, Data Validation, Jupyter, Data Analysis, Data Structures, Performance Tuning, Analysis, Programming Principles, Data Preprocessing, Descriptive Analytics

    Intermediate · Specialization · 3 - 6 Months

    Category: New
    New
  • U

    University of Pennsylvania

    Fundamentals of Quantitative Modeling

    Skills you'll gain: Business Modeling, Mathematical Modeling, Regression Analysis, Statistical Modeling, Risk Analysis, Data Modeling, Business Analysis, Predictive Modeling, Forecasting, Predictive Analytics, Statistical Methods, Simulation and Simulation Software, Probability, Model Optimization, Logistic Regression, Probability Distribution, Vocabulary

    ★ 4.6 (9.4K) · Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
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In summary, here are 10 of our most popular text classification courses

  • ChatGPT for Beginners: Save time with Microsoft Excel: Coursera
  • Building AI Cloud Apps with Microsoft Azure: Microsoft
  • Automate Cybersecurity Tasks with Python: Google
  • Big Data: University of California San Diego
  • Introduction to Machine Learning: Birla Institute of Technology & Science, Pilani
  • AWS: AI Services: Whizlabs
  • Practical Machine Learning: Johns Hopkins University
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • Generative AI: Introduction and Applications: IBM
  • Introduction to Front-End Development: Meta

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