Classification Algorithms

Classification algorithms are fundamental machine learning techniques used to categorize data into predefined classes or categories based on input features. Coursera's Classification Algorithms catalogue teaches you the core principles of binary and multiclass classification, including popular algorithms like logistic regression, support vector machines, and k-nearest neighbors. You'll learn to implement these algorithms using Java-based tools such as Weka, Smile, and Tribuo, and apply them to real-world problems like email spam detection, fraud identification, and medical diagnosis. By mastering classification algorithms, you'll be equipped to develop intelligent systems that can make accurate predictions and decisions across various industries, enhancing your capabilities as a data scientist or machine learning engineer.

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Results for "Classification Algorithms"

  • Alberta Machine Intelligence Institute

    Skills you'll gain: Supervised Learning, Data Preprocessing, Feature Engineering, Model Optimization, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Model Evaluation, Data Quality, Machine Learning Methods, Classification Algorithms, Model Training, MLOps (Machine Learning Operations), Model Deployment, Jupyter, Statistical Machine Learning, Data Validation, Machine Learning, Project Management

    4.6 stars, 1.1K reviews, Intermediate, Specialization, 3 - 6 Months

  • DeepLearning.AI

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, Model Training, NumPy, Machine Learning Algorithms, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Model Optimization, Regression Analysis, Algorithms

    4.9 stars, 33K reviews, Beginner, Course, 1 - 4 Weeks

  • Packt

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

    Beginner · Course · 1 - 4 Weeks

  • IBM

    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, Statistical Machine Learning, Predictive Modeling, Business Logic, Machine Learning Methods, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Regression Analysis, Random Forest Algorithm, Model Optimization, Sampling (Statistics)

    4.8 stars, 469 reviews, Intermediate, Course, 1 - 3 Months

  • Packt

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Model Deployment, Machine Learning Methods, Classification And Regression Tree (CART), Model Evaluation, Machine Learning, Machine Learning Software, Statistical Machine Learning, Classification Algorithms, Machine Learning Algorithms, Model Training, Model Optimization, Predictive Modeling, Decision Tree Learning, Python Programming, Bayesian Statistics, Data Science, Web Services

    Intermediate · Course · 1 - 3 Months

  • Google

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Model Training, Random Forest Algorithm, Model Optimization, Predictive Modeling, Model Evaluation, Python Programming, Performance Tuning, Classification Algorithms

    4.8 stars, 647 reviews, Advanced, Course, 1 - 3 Months

  • Northeastern University

    Skills you'll gain: Data Storytelling, Software Quality Assurance, Object Oriented Design, Generative AI, Open Web Application Security Project (OWASP), Text Mining, Software Testing, Data Warehousing, Database Design, Convolutional Neural Networks, Agile Software Development, Software Development Life Cycle, Data Governance, Unsupervised Learning, Process Mapping, Project Closure, Cybersecurity, Classification Algorithms, PyTorch (Machine Learning Library), Engineering Management

    Degree · 1 - 4 Years

  • Northeastern University

    Skills you'll gain: Data Storytelling, Generative AI, Text Mining, Data Warehousing, Unsupervised Learning, Database Design, Convolutional Neural Networks, Generative Model Architectures, Data Governance, Data Mining, Web Scraping, Classification Algorithms, PyTorch (Machine Learning Library), Operations Research, Natural Language Processing, NoSQL, Exploratory Data Analysis, Recurrent Neural Networks (RNNs), Generative AI Agents, Time Series Analysis and Forecasting

    Degree · 1 - 4 Years

  • Multiple educators

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Training, Applied Machine Learning, Machine Learning Algorithms, Transfer Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Model Evaluation, Responsible AI, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning

    4.9 stars, 39K reviews, Beginner, Specialization, 1 - 3 Months

  • MathWorks

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Model Training, Matlab, Machine Learning Methods, Data Preprocessing, Machine Learning, Classification Algorithms, Supervised Learning, Machine Learning Algorithms

    4.8 stars, 23 reviews, Beginner, Course, 1 - 4 Weeks

  • DeepLearning.AI

    Skills you'll gain: Model Training, Machine Learning Algorithms, Transfer Learning, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Classification Algorithms, Random Forest Algorithm, Model Optimization, Artificial Neural Networks, Logistic Regression, Regression Analysis

    4.9 stars, 8.8K reviews, Beginner, Course, 1 - 4 Weeks

  • Coursera

    Skills you'll gain: Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Model Training, Data Preprocessing, Data Processing, Hugging Face, Classification Algorithms

    Intermediate · Course · 1 - 3 Months