Classification And Regression Tree (CART)

Classification And Regression Tree (CART) is a predictive modeling tool used in data mining for decision-making processes. Coursera's CART catalogue teaches you about this powerful decision tree technique used in machine learning, statistics, and data analysis. You'll learn everything from splitting criteria, tree pruning, and Gini index to regression trees and classification trees. You'll also delve into the practical application of CART in various fields such as healthcare, finance, and marketing. Master the art of creating insightful predictive models using CART to make informed decisions, and enhance your data analysis and machine learning skills.
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1online degree
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Results for "classification and regression tree (cart)"

  • Status: New
    Status: Preview

    Skills you'll gain: Feature Engineering, SAS (Software), Classification And Regression Tree (CART), Predictive Modeling, Statistical Modeling, Regression Analysis, Predictive Analytics, Applied Machine Learning, Statistical Methods, Data Processing, Data Manipulation, Data Cleansing, Data Transformation, Statistical Analysis, Exploratory Data Analysis

  • Status: New
    Status: Preview

    Skills you'll gain: Predictive Modeling, R Programming, Feature Engineering, Statistical Modeling, Risk Modeling, Classification And Regression Tree (CART), Regression Analysis, Predictive Analytics, Machine Learning Methods, Data Processing, Supervised Learning, Performance Measurement, Credit Risk, Dimensionality Reduction

  • Status: New
    Status: Free Trial

    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

  • Status: New
    Status: Preview

    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

  • Status: New
    Status: Preview

    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

  • Status: New
    Status: Free Trial

    Skills you'll gain: Tensorflow, Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Computer Vision, Forecasting, Classification And Regression Tree (CART), Supervised Learning, Machine Learning, Text Mining, Predictive Analytics, NumPy, Regression Analysis, Network Architecture, Data Processing, Data Science

What brings you to Coursera today?

  • Status: New
    Status: Preview

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

  • Status: New
    Status: Free Trial

    Skills you'll gain: PySpark, Apache Spark, MySQL, Data Pipelines, Scala Programming, Extract, Transform, Load, Customer Analysis, Apache Hadoop, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Data Processing, Advanced Analytics, Big Data, Apache Maven, Statistical Machine Learning, Unsupervised Learning, SQL, Apache, Python Programming

  • Status: New
    Status: Free Trial

    Skills you'll gain: PySpark, Apache Spark, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Statistical Machine Learning, Unsupervised Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Data Pipelines

  • Status: New
    Status: Preview

    Skills you'll gain: Data Modeling, Classification And Regression Tree (CART), Data Validation, Statistical Analysis, Application Deployment

  • Status: Free Trial

    Multiple educators

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

  • Status: Free Trial

    Duke University

    Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Responsible AI, Data Ethics, Data Management, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Human Centered Design, Machine Learning, Human Factors, Regression Analysis, Technical Management, Applied Machine Learning, Project Management, Product Management, Product Design, Data Science

What brings you to Coursera today?

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