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"

  • 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

  • Status: Free Trial

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Data Science, Python Programming, Classification And Regression Tree (CART), Mathematical Modeling, Applied Mathematics, Exploratory Data Analysis, Statistical Programming, Regression Analysis, Feature Engineering, Data Cleansing, Performance Tuning

  • Status: Free Trial

    Skills you'll gain: Machine Learning Algorithms, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Data Cleansing, Analytics, Machine Learning, Data Science, Regression Analysis, Data Manipulation, Data Mining, Statistical Modeling, Python Programming, Feature Engineering, Scikit Learn (Machine Learning Library), Classification And Regression Tree (CART), Decision Tree Learning

  • 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)

  • 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

  • Status: Free Trial

    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

  • Status: Free Trial

    Skills you'll gain: Predictive Modeling, Responsible AI, Machine Learning, Predictive Analytics, Data Ethics, MLOps (Machine Learning Operations), Applied Machine Learning, Data-Driven Decision-Making, Statistical Modeling, Performance Measurement, Supervised Learning, Business Ethics, Decision Tree Learning, Artificial Intelligence and Machine Learning (AI/ML), Leadership and Management, Business Analytics, Data Science, Machine Learning Algorithms, Artificial Intelligence, Data Processing

  • 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

  • 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

  • Status: New
    Status: Free Trial

    Skills you'll gain: Decision Tree Learning, Fraud detection, Regression Analysis, Debugging

  • Status: Free Trial

    Skills you'll gain: Applied Machine Learning, Machine Learning, Supervised Learning, Regression Analysis, Decision Tree Learning, Machine Learning Algorithms, Feature Engineering, Unsupervised Learning, Application Deployment, Predictive Modeling, Statistical Modeling, Data Processing, Anomaly Detection, Data Manipulation, Data Cleansing, Exploratory Data Analysis

  • Status: Preview

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

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