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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


  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Natural Language Processing and Capstone Assignment

    Skills you'll gain: Predictive Modeling, Natural Language Processing, Social Media, Text Mining, Cloud Computing, Unstructured Data, Big Data, Analytics, Data Analysis, Geospatial Information and Technology, Machine Learning Methods, Business Intelligence, Internet Of Things, Deep Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    49 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Sentiment Analysis with Deep Learning using BERT

    Skills you'll gain: Text Mining, Data Cleansing, PyTorch (Machine Learning Library), Data Manipulation, Data Processing, Performance Tuning, Deep Learning, Natural Language Processing, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    398 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Classification - Fundamentals & Practical Applications

    Skills you'll gain: Machine Learning Algorithms, Predictive Modeling, Applied Machine Learning, Classification And Regression Tree (CART), Supervised Learning, Data Modeling, Analytics, Data Analysis, Feature Engineering, Regression Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Performance Metric, Exploratory Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    RNN Architecture and Sentiment Classification

    Skills you'll gain: PyTorch (Machine Learning Library), Text Mining, Artificial Neural Networks, Natural Language Processing, Deep Learning, Applied Machine Learning, Network Architecture, Time Series Analysis and Forecasting, Machine Learning, Data Processing

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    NLP: Twitter Sentiment Analysis

    Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Text Mining, Scikit Learn (Machine Learning Library), Probability & Statistics, Pandas (Python Package), Natural Language Processing, Data Processing, Statistical Modeling, Data Transformation, Data Analysis, Python Programming, Applied Machine Learning, Supervised Learning, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    372 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    NLP – Machine Learning Models in Python

    Skills you'll gain: Dimensionality Reduction, Text Mining, Applied Machine Learning, Statistical Machine Learning, Supervised Learning, Unsupervised Learning, Python Programming, Machine Learning, Predictive Modeling, Regression Analysis, Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Machine Learning, Data Analysis, Python Programming, Random Forest Algorithm

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Attention Models

    Skills you'll gain: Natural Language Processing, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Recommendation Systems on Google Cloud

    Skills you'll gain: Reinforcement Learning, Google Cloud Platform, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Predictive Modeling, Algorithms, Data Processing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    484 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    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 Transformation, Anomaly Detection, Exploratory Data Analysis, Machine Learning, Natural Language Processing, Data Science, Quality Assurance, Data Validation, Machine Learning Algorithms, Data Visualization, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    76 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Probabilistic Models

    Skills you'll gain: Natural Language Processing, Markov Model, Text Mining, Artificial Neural Networks, Machine Learning Methods, Data Processing, Algorithms, Probability & Statistics, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Text Mining in Python

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

    4.2
    Rating, 4.2 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Course · 1 - 4 Weeks

Searches related to text classification

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

  • Natural Language Processing and Capstone Assignment: University of California, Irvine
  • Sentiment Analysis with Deep Learning using BERT: Coursera
  • Classification - Fundamentals & Practical Applications: Corporate Finance Institute
  • RNN Architecture and Sentiment Classification: Packt
  • NLP: Twitter Sentiment Analysis: Coursera
  • NLP – Machine Learning Models in Python: Packt
  • Introduction to Machine Learning in Sports Analytics: University of Michigan
  • Natural Language Processing with Attention Models: DeepLearning.AI
  • Recommendation Systems on Google Cloud: Google Cloud
  • AI Workflow: Feature Engineering and Bias Detection: IBM

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