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: Free Trial

    SAS

    Skills you'll gain: Responsible AI, Machine Learning, Data Ethics, Predictive Analytics, Statistical Modeling, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Machine Learning Algorithms, Decision Tree Learning, Data Analysis, Regression Analysis, Performance Analysis, Deep Learning, Artificial Neural Networks

    4.9
    Rating, 4.9 out of 5 stars
    64 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Exploratory Data Analysis, Data Visualization, Business Analytics, Data Analysis, Statistical Modeling, Data-Driven Decision-Making, Regression Analysis, Microsoft Excel, Machine Learning Methods, Decision Tree Learning, Data Cleansing, Artificial Neural Networks

    3.6
    Rating, 3.6 out of 5 stars
    602 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    Status: Preview

    O.P. Jindal Global University

    Skills you'll gain: Sampling (Statistics), Probability Distribution, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Correlation Analysis, Regression Analysis, R (Software), R Programming, Statistics, Statistical Modeling, Statistical Inference, Probability, Big Data, Random Forest Algorithm, Decision Tree Learning

    Build toward a degree

    Mixed · Course · 1 - 3 Months

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