Decision Tree Learning

Decision Tree Learning is a method of approximating discrete-valued target functions, in which the learned function is represented by a decision tree. Coursera's Decision Tree Learning catalogue will guide you in understanding this supervised learning method extensively used in machine learning and data mining. You'll learn how to build, visualize, and optimally prune decision trees for prediction and classification. This catalogue will also teach you about attribute selection measures, overfitting, randomness, and ensemble methods within decision tree learning. In mastering this skill, you'll be equipped to solve complex problems in areas such as finance, healthcare, and natural language processing using decision tree learning algorithms.
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Results for "decision tree learning"

  • Status: Preview

    Fundação Instituto de Administração

    Skills you'll gain: Decision Making, Strategic Decision-Making, Data-Driven Decision-Making, Behavioral Economics, Analysis, Business Risk Management, Complex Problem Solving, Risk Analysis, Systems Thinking, Decision Tree Learning, AI Product Strategy, Virtual Teams, Psychology

    Intermediate · Course · 1 - 3 Months

  • Coursera

    Skills you'll gain: Predictive Modeling, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Analysis, Data Import/Export, Google Cloud Platform, Jupyter, Decision Tree Learning, Data Processing, Machine Learning, Random Forest Algorithm, Statistical Visualization

    4.7
    Rating, 4.7 out of 5 stars
    15 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • EIT Digital

    Skills you'll gain: Data Mining, Medical Imaging, Image Analysis, Unstructured Data, Health Informatics, Big Data, Health Information Management and Medical Records, Text Mining, Health Care, Analytics, Data Ethics, Natural Language Processing, Medical Science and Research, Predictive Analytics, Innovation, Decision Tree Learning, Artificial Neural Networks

    3.7
    Rating, 3.7 out of 5 stars
    25 reviews

    Beginner · Course · 1 - 3 Months