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"

  • Coursera Project Network

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Data Transformation, Supervised Learning, Predictive Modeling, Feature Engineering, Scikit Learn (Machine Learning Library), Data Processing

    4.6
    Rating, 4.6 out of 5 stars
    232 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Coursera Project Network

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, PySpark, Data Processing, Data Cleansing, Data Transformation, Apache Spark, Data-Driven Decision-Making, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Application Deployment, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    24 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • 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: Free Trial

    New York University

    Skills you'll gain: Supervised Learning, Reinforcement Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Market Dynamics, Risk Modeling, Tensorflow, Financial Modeling

    3.7
    Rating, 3.7 out of 5 stars
    818 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Coursera Project Network

    Skills you'll gain: Feature Engineering, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Random Forest Algorithm, Responsible AI, Predictive Modeling, Data Import/Export, Machine Learning, Predictive Analytics

    4.4
    Rating, 4.4 out of 5 stars
    62 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Coursera Project Network

    Skills you'll gain: Data Visualization, Feature Engineering, Data Cleansing, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Science, Classification And Regression Tree (CART), Applied Machine Learning, Regression Analysis, Supervised Learning, Predictive Analytics, Machine Learning, Human Resources, Decision Tree Learning, Employee Retention

    4.5
    Rating, 4.5 out of 5 stars
    15 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    Status: Free Trial

    Packt

    Skills you'll gain: Predictive Modeling, Matplotlib, Seaborn, Statistical Modeling, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, AI Personalization, Feature Engineering, NumPy

    Intermediate · Course · 1 - 3 Months

  • Status: Preview

    Coursera Project Network

    Skills you'll gain: Customer Analysis, Unsupervised Learning, Customer Insights, Marketing Analytics, Applied Machine Learning, Data Analysis, Web Analytics, Scikit Learn (Machine Learning Library), Retail Store Operations, Machine Learning, Histogram, Decision Tree Learning, Pandas (Python Package), Jupyter, Matplotlib

    4.9
    Rating, 4.9 out of 5 stars
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Statistical Modeling, Applied Machine Learning, Data Science, Statistical Methods, Classification And Regression Tree (CART), Statistical Programming, Statistical Analysis, Supervised Learning, Regression Analysis, R Programming, Predictive Modeling, Artificial Neural Networks, Statistical Machine Learning, Dimensionality Reduction, Unsupervised Learning, Statistical Inference, Advanced Analytics, Decision Tree Learning, Machine Learning, Sampling (Statistics)

    Build toward a degree

    4
    Rating, 4 out of 5 stars
    19 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial

    CertNexus

    Skills you'll gain: Data Ethics, Applied Machine Learning, Unsupervised Learning, Random Forest Algorithm, Data Analysis, Regression Analysis, Responsible AI, Decision Tree Learning, Machine Learning Algorithms, Data Collection, Deep Learning, Workflow Management, MLOps (Machine Learning Operations), Statistical Analysis, Business Ethics, Compliance Management, Learning Strategies, Test Planning, Goal Setting, Productivity

    4.6
    Rating, 4.6 out of 5 stars
    290 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Preview

    National Taiwan University

    Skills you'll gain: Feature Engineering, Classification And Regression Tree (CART), Deep Learning, Supervised Learning, Regression Analysis, Statistical Machine Learning, Random Forest Algorithm, Decision Tree Learning, Applied Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Dimensionality Reduction, Machine Learning, Unsupervised Learning

    4.9
    Rating, 4.9 out of 5 stars
    35 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Supervised Learning, Artificial Neural Networks, Decision Tree Learning, Machine Learning Algorithms, Machine Learning, Computer Vision, Network Architecture, Performance Tuning

    Intermediate · Course · 1 - 3 Months