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: New
    Status: Free Trial

    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

  • Status: Preview

    Skills you'll gain: Supervised Learning, Decision Tree Learning, Applied Machine Learning, Data Processing, Predictive Modeling, Statistical Machine Learning, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Artificial Neural Networks, Data Cleansing, Predictive Analytics, No-Code Development, Statistical Programming, Performance Tuning

  • Status: Preview

    Sungkyunkwan University

    Skills you'll gain: Machine Learning Algorithms, Decision Tree Learning, Classification And Regression Tree (CART), Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Linear Algebra, Bayesian Statistics, Probability

  • Status: Free Trial

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning, Supervised Learning, Data Analysis, Data Mining, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis, Statistical Methods, Python Programming

  • Status: Free Trial

    Skills you'll gain: Classification And Regression Tree (CART), Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Random Forest Algorithm, Artificial Neural Networks, Performance Tuning

  • Status: Preview

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

  • Status: Free Trial

    University of California, Irvine

    Skills you'll gain: Analytical Skills, Data Ethics, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Predictive Analytics, Data Analysis, Classification And Regression Tree (CART), Regression Analysis, Data Mining, Data Strategy, Statistical Analysis, Data Science, Social Media, Text Mining, Anomaly Detection, Business Analytics, Decision Tree Learning, Statistical Modeling, Cloud Computing

  • Status: New

    Illinois Tech

    Skills you'll gain: Predictive Analytics, Data Cleansing, Unsupervised Learning, Data Analysis, Data Manipulation, Data Mining, Supervised Learning, Decision Tree Learning, Machine Learning, Artificial Neural Networks

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Applied Machine Learning, Supervised Learning, Data Science, Artificial Neural Networks, Dimensionality Reduction, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Machine Learning, Predictive Modeling, Random Forest Algorithm, Statistics

  • Status: Free Trial

    Skills you'll gain: Risk Modeling, Decision Tree Learning, Predictive Modeling, Feature Engineering, Applied Machine Learning, Random Forest Algorithm, Forecasting, Data Cleansing, Statistical Modeling, Machine Learning, Statistical Analysis, Probability & Statistics, Data Analysis, Regression Analysis, Deep Learning

  • Status: Free Trial

    Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Supervised Learning, Computer Vision, Regression Analysis, Natural Language Processing

  • Status: Preview

    Sungkyunkwan University

    Skills you'll gain: Data Processing, Portfolio Management, Investment Management, Classification And Regression Tree (CART), Statistical Machine Learning, Investments, Machine Learning Algorithms, Applied Machine Learning, R Programming, Feature Engineering, Machine Learning, Financial Modeling, Predictive Modeling, Decision Tree Learning, Random Forest Algorithm, Asset Management

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