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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Results for "classification and regression tree (cart)"

  • Status: Free Trial

    Universidades Anáhuac

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Classification And Regression Tree (CART), Artificial Intelligence, Entrepreneurship, Data Analysis, Customer Analysis, New Business Development, Business Process Automation, Big Data, Machine Learning, Image Analysis, Agentic systems, Business Technologies, Machine Learning Algorithms, Virtual Environment, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • Status: Free

    Coursera Project Network

    Skills you'll gain: Data Processing, Tensorflow, Applied Machine Learning, Feature Engineering, Data Cleansing, Classification And Regression Tree (CART), Data Manipulation, Machine Learning, Predictive Modeling, Random Forest Algorithm, Pandas (Python Package), Data Analysis, Exploratory Data Analysis

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    Status: Preview

    Northeastern University

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Random Forest Algorithm, Generative Model Architectures

    Intermediate · Course · 1 - 3 Months

  • University of Leeds

    Skills you'll gain: Data Ethics, Statistical Hypothesis Testing, Statistical Machine Learning, Regression Analysis, R (Software), Exploratory Data Analysis, Bayesian Statistics, Statistical Methods, Statistical Visualization, Classification And Regression Tree (CART), Network Analysis, Planning, Data Visualization, Data Manipulation, Data Analysis, Statistical Inference, Statistical Modeling, Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Object Oriented Programming (OOP)

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