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  2. Text Classification

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

    EDUCBA

    Deep Learning with PyTorch and Neural Networks

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Development Environment, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Generative Model Architectures, Feature Engineering, Model Training, Convolutional Neural Networks, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Natural Language Processing, Network Model, Vision Transformer (ViT), Computer Vision, Jupyter, Model Evaluation, Model Based Systems Engineering

    Beginner · Specialization · 1 - 3 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • U

    University of Illinois Urbana-Champaign

    Data Mining

    Skills you'll gain: Data Visualization, Data Visualization Software, Text Mining, Data Presentation, Data Mining, Dashboard, Tableau Software, Plot (Graphics), Dashboard Creation, Natural Language Processing, Data Mapping, Statistical Analysis, Graphing, Big Data, Data-Driven Decision-Making, Analytics, Data Analysis, Statistical Methods, Probability & Statistics, Model Evaluation

    4.5 stars, 3K reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 4.5 (3K) · Intermediate · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • E

    Edureka

    Semantic Search with Vector Embeddings

    Skills you'll gain: Embeddings, Vector Databases, Semantic Web, Retrieval-Augmented Generation, Model Evaluation, Text Mining, Natural Language Processing, NumPy, Hugging Face, Large Language Modeling, Performance Tuning, Data Processing, Generative AI, Pandas (Python Package), Artificial Intelligence, Applied Machine Learning, Unstructured Data, Machine Learning, Python Programming, Data Analysis

    Intermediate · Specialization · 1 - 3 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • E

    EDUCBA

    Build Image and Text Models with Deep Learning

    Skills you'll gain: Generative Model Architectures, Model Training, Convolutional Neural Networks, Deep Learning, Data Preprocessing, Natural Language Processing, Network Model, Artificial Neural Networks, Model Evaluation, Data Processing, Model Optimization, Computer Vision, AI Workflows, Network Architecture, Data Transformation

    Mixed · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free trial
    Free trial
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  • E

    EDUCBA

    Develop Attention Models and Recommender Systems

    Skills you'll gain: Deep Learning, Predictive Modeling, Data Preprocessing, Feature Engineering, Natural Language Processing, Model Training, Data Processing, Model Evaluation, Generative Model Architectures, AI Workflows, Data Science, Language Interpretation, Translation, and Studies, Data Pipelines

    Mixed · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free trial
    Free trial
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  • B

    Board Infinity

    AI Phishing Detection: Build a Machine Learning System

    Skills you'll gain: Email Security, Threat Detection, Model Deployment, MLOps (Machine Learning Operations), AI Security, Model Evaluation, Model Training, Feature Engineering, Applied Machine Learning, Text Mining, Cybersecurity, Machine Learning, Data Preprocessing, Authentications

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Category: Preview
    Preview
  • P

    Packt

    Data Labeling in Machine Learning with Python

    Skills you'll gain: Exploratory Data Analysis, Image Analysis, Data Preprocessing, Computer Vision, Model Training, Data Analysis, Applied Machine Learning, Data Ethics, Convolutional Neural Networks, Machine Learning Methods, Data Cleansing, Unsupervised Learning, Data Science, Data Mining, Python Programming, Data Collection, Unstructured Data, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Autoencoders

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
  • P

    Packt

    Classifying Emails using Llama

    Skills you'll gain: Large Language Modeling, Email Automation, LLM Application, Prompt Engineering, Natural Language Processing, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Python Programming, Data Preprocessing, Pandas (Python Package), Product Engineering

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
  • 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, PyTorch (Machine Learning Library), Artificial Neural Networks, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Applied Machine Learning, Embeddings, Data Processing, Machine Learning, Data Analysis, Data Cleansing, Unified Modeling Language

    3.1 stars, 8 reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 3.1 (8) · Intermediate · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning Algorithms, Decision Tree Learning, Applied Machine Learning, Model Training, Predictive Modeling, Machine Learning Methods, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Random Forest Algorithm

    4.8 stars, 470 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.8 (470) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • I

    IBM

    Gen AI Foundational Models for NLP & Language Understanding

    Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Embeddings, Generative AI, Natural Language Processing, Generative Model Architectures, Model Optimization, Responsible AI, Data Ethics, Model Training, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Feature Engineering

    4.4 stars, 213 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.4 (213) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • 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, Artificial Neural Networks, Classification Algorithms, Data Preprocessing, Deep Learning, Generative Model Architectures, Logistic Regression, Artificial Intelligence, Algorithms, Keras (Neural Network Library), Model Evaluation, Data Cleansing, Model Training

    4.6 stars, 6.2K reviews, Intermediate, Specialization, 3 - 6 Months

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

    Status: Top AI program
    Top AI program
    Status: Free trial
    Free trial
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Best Text Classification courses from EDUCBA

Top-rated Text Classification courses offered by EDUCBA on Coursera.

  1. 1
    Deep Learning with PyTorch and Neural Networks
    EDUCBABeginner1 - 3 MonthsEDUCBA
  2. 2
    Build Image and Text Models with Deep Learning
    EDUCBAMixed1 - 4 WeeksEDUCBA
  3. 3
    Develop Attention Models and Recommender Systems
    EDUCBAMixed1 - 4 WeeksEDUCBA

Best Text Classification certificate programs

Earn a certificate in Text Classification from top universities and companies.

  1. 1
    Data Mining
    University of Illinois Urbana-ChampaignIntermediate3 - 6 Months4.5(2,956)Specialization
  2. 2
    Semantic Search with Vector Embeddings
    EdurekaIntermediate1 - 3 MonthsSpecialization
  3. 3
    Mastering NLP: Tokenization, Sentiment Analysis & Neural MT
    EdurekaIntermediate3 - 6 Months3.1(8)Specialization

Best Text Classification courses for beginners

Top-rated beginner-friendly Text Classification courses with no prerequisites.

  1. 1
    AI Phishing Detection: Build a Machine Learning System
    Board InfinityBeginner1 - 4 WeeksNo prerequisites
  2. 2
    Classifying Emails using Llama
    PacktBeginner1 - 4 WeeksNo prerequisites

Frequently Asked Questions about Text Classification

Text classification is the process of categorizing text into predefined groups based on its content. This technique is crucial in various applications, such as spam detection in emails, sentiment analysis in social media, and organizing large datasets for easier retrieval. By automating the classification of text, organizations can enhance efficiency, improve customer experiences, and derive insights from unstructured data.‎

Careers in text classification span multiple industries, including technology, marketing, and data science. Positions such as data analyst, machine learning engineer, and natural language processing (NLP) specialist often require expertise in text classification. Additionally, roles in customer service and content moderation may benefit from skills in this area, as companies seek to streamline processes and improve user engagement.‎

To excel in text classification, you should develop a range of skills, including programming (especially in Python or R), familiarity with machine learning algorithms, and a solid understanding of natural language processing techniques. Knowledge of data preprocessing, feature extraction, and model evaluation is also essential. These skills will empower you to build effective classification models and analyze their performance.‎

Some of the best online courses for text classification include Supervised Text Classification for Marketing Analytics and Natural Language Processing with Classification and Vector Spaces. These courses provide practical insights and hands-on experience, helping you to understand the nuances of text classification in real-world applications.‎

Yes. You can start learning text classification on Coursera for free in two ways:

  1. Preview the first module of many text classification courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in text classification, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn text classification, start by exploring online courses that cover the fundamentals of machine learning and natural language processing. Engage with hands-on projects to apply your knowledge practically. Additionally, participating in online forums and communities can provide support and resources as you progress in your learning journey.‎

Typical topics covered in text classification courses include data preprocessing, feature extraction techniques, various classification algorithms, and model evaluation metrics. You may also learn about advanced topics like deep learning for text classification and the application of NLP techniques to enhance model performance.‎

For training and upskilling employees in text classification, courses like Classification - Fundamentals & Practical Applications and Supervised Machine Learning: Regression and Classification are excellent choices. These courses provide practical skills and knowledge that can be directly applied in the workplace, fostering a more skilled workforce.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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