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

    Multiple educators

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Classification And Regression Tree (CART), Applied Machine Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Responsible AI, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Python Programming, Artificial Neural Networks

    4.9
    Rating, 4.9 out of 5 stars
    37K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    Status: Preview

    EDUCBA

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

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    Status: Free Trial

    EDUCBA

    Skills you'll gain: Feature Engineering, Supervised Learning, Exploratory Data Analysis, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Pandas (Python Package), NumPy, Data Cleansing, Data Manipulation

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    Status: Preview

    EDUCBA

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Risk Modeling, Classification And Regression Tree (CART), Decision Tree Learning, Credit Risk, Predictive Analytics, Random Forest Algorithm, Data Processing, Feature Engineering, Financial Modeling, Data Manipulation, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Pandas (Python Package), Machine Learning Methods, Supervised Learning, Performance Metric, Performance Tuning

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial

    Google

    Skills you'll gain: Feature Engineering, Applied Machine Learning, Advanced Analytics, Machine Learning, Unsupervised Learning, Workflow Management, Data Ethics, Supervised Learning, Data Validation, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Python Programming, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    568 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial

    University of Michigan

    Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Dimensionality Reduction, Random Forest Algorithm, Regression Analysis

    4.6
    Rating, 4.6 out of 5 stars
    8.6K reviews

    Intermediate · Course · 1 - 4 Weeks

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  • Status: Free Trial

    Duke University

    Skills you'll gain: Responsible AI, Large Language Modeling, Data Ethics, Decision Tree Learning, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, Data-Driven Decision-Making, Statistical Modeling, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Image Analysis, Machine Learning Methods, Deep Learning, Visualization (Computer Graphics), Plot (Graphics), Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    61 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial

    DeepLearning.AI

    Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Risk Modeling, Data Analysis, Precision Medicine, Decision Tree Learning, Predictive Modeling, Applied Machine Learning, Feature Engineering, Patient Treatment, Image Analysis, AI Personalization, Diagnostic Radiology, Machine Learning, Random Forest Algorithm, Forecasting, Data Processing, Artificial Intelligence, Tensorflow

    4.7
    Rating, 4.7 out of 5 stars
    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial

    IBM

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Feature Engineering, Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Dimensionality Reduction, Regression Analysis, Decision Tree Learning, Classification And Regression Tree (CART), Statistical Modeling

    4.7
    Rating, 4.7 out of 5 stars
    18K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    Status: Preview

    EDUCBA

    Skills you'll gain: Classification And Regression Tree (CART), Predictive Analytics, Predictive Modeling, Decision Tree Learning, Data-Driven Decision-Making, Marketing Analytics, Feature Engineering, Data Processing, Customer Analysis, Statistical Modeling, Supervised Learning, Data Cleansing, Machine Learning Methods, Program Standards

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    Status: Preview

    EDUCBA

    Skills you'll gain: SAS (Software), Predictive Analytics, Regression Analysis, Statistical Modeling, Business Analytics, Machine Learning Methods, Data Cleansing, Data Mining, Data Modeling, Feature Engineering, Application Deployment, Statistical Analysis, Decision Tree Learning, Data Transformation, Process Flow Diagrams, Artificial Neural Networks, Performance Metric

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Classification And Regression Tree (CART), Applied Machine Learning, Decision Tree Learning, R Programming, Machine Learning, Random Forest Algorithm, Regression Analysis, Data Processing, Data Collection

    4.5
    Rating, 4.5 out of 5 stars
    3.3K reviews

    Mixed · Course · 1 - 4 Weeks

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