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.
25credentials
1online degree
91courses

Results for "classification and regression tree (cart)"

  • Status: Preview

    Skills you'll gain: Data Science, Data Processing, Applied Machine Learning, Machine Learning, Supervised Learning, Geographic Information Systems, Big Data, Data Visualization, Data Analysis, Data Integration, Amazon Web Services, Cloud Computing, Matlab, Predictive Modeling, Classification And Regression Tree (CART), Regression Analysis

  • Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Random Forest Algorithm, Data Processing, Machine Learning Algorithms, Predictive Modeling, Regression Analysis, Feature Engineering, Machine Learning, Exploratory Data Analysis

  • Status: Free Trial

    University of Colorado System

    Skills you'll gain: Marketing Analytics, Classification And Regression Tree (CART), Probability & Statistics, AI Personalization, Statistical Software, Statistical Methods, Regression Analysis, Data-Driven Decision-Making, Data Ethics, Unsupervised Learning, Statistical Modeling, Data Visualization, Customer Analysis, Statistical Analysis, Predictive Analytics, Marketing Effectiveness, Anomaly Detection, Advanced Analytics, Bayesian Network, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation

  • Status: Free Trial

    Skills you'll gain: Image Analysis, Supervised Learning, Applied Machine Learning, Machine Learning Methods, Demand Planning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Anomaly Detection, Statistical Modeling, Supply Chain Management, Machine Learning, Computer Vision, Machine Learning Algorithms, Supply Chain, Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Natural Language Processing, Artificial Neural Networks, Customer Demand Planning

  • Status: Free Trial

    Skills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Image Analysis, Classification And Regression Tree (CART), Supervised Learning, Machine Learning, NumPy

  • Status: Preview

    Universitat Autònoma de Barcelona

    Skills you'll gain: Computer Vision, Image Analysis, Applied Machine Learning, Classification And Regression Tree (CART), Machine Learning Algorithms, Supervised Learning, Machine Learning, Deep Learning, Feature Engineering, Artificial Neural Networks, Algorithms, Histogram

  • Skills you'll gain: AWS SageMaker, Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Classification And Regression Tree (CART), Python Programming, Prototyping

  • Status: Free Trial

    Universidad de los Andes

    Skills you'll gain: Data Ethics, Data Integration, Exploratory Data Analysis, Statistical Hypothesis Testing, Applied Machine Learning, Correlation Analysis, Predictive Modeling, Data Visualization Software, Classification And Regression Tree (CART), Data Quality, Data Science, Jupyter, Data Analysis, Data Transformation, Data Cleansing, Business Analytics, Data Manipulation, Statistical Analysis, Scikit Learn (Machine Learning Library), Machine Learning

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Exploratory Data Analysis, R Programming, Predictive Modeling, Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Regression Analysis, Data Science, Classification And Regression Tree (CART), Statistical Inference, Statistical Analysis, Rmarkdown, Statistical Methods, Probability & Statistics, Machine Learning, Descriptive Statistics

  • Skills you'll gain: Exploratory Data Analysis, Data Analysis, Statistical Analysis, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Predictive Modeling, Matplotlib, Data Import/Export, Pandas (Python Package), Applied Machine Learning, Data Visualization Software, NumPy, Data Manipulation, Machine Learning

  • 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

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