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: Free Trial

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Reinforcement Learning, Artificial Intelligence, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Predictive Modeling, Machine Learning, Regression Analysis, Data Ethics, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm

  • Skills you'll gain: Data Cleansing, R Programming, Statistical Analysis, R (Software), Data Manipulation, Classification And Regression Tree (CART), Advanced Analytics, Statistical Modeling, Random Forest Algorithm, Statistical Methods, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction

  • 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: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Research Design, Statistical Methods, Data Analysis, Statistical Analysis, Data Modeling, Predictive Modeling, Mathematical Modeling, Probability & Statistics, Data Science, Quantitative Research, Machine Learning, Classification And Regression Tree (CART), Linear Algebra, Probability Distribution

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Statistical Modeling, Statistical Machine Learning, Regression Analysis, Statistical Methods, Predictive Modeling, Statistical Analysis, Classification And Regression Tree (CART), Data Science, R Programming, Probability & Statistics, Supervised Learning, Machine Learning, Applied Machine Learning

  • Status: Preview

    Skills you'll gain: Predictive Modeling, Machine Learning, Supervised Learning, Data Science, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Unsupervised Learning, Reinforcement Learning, Performance Metric

  • Status: Free Trial

    Skills you'll gain: Regression Analysis, Data Storytelling, Classification And Regression Tree (CART), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Statistical Software, Correlation Analysis, Exploratory Data Analysis, Decision Tree Learning, Data Manipulation, Data Presentation, Data Management, Data Analysis, Predictive Modeling, Data Visualization, Data Literacy, Statistical Modeling, Machine Learning, Statistics

  • Skills you'll gain: Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

  • Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Predictive Modeling, Data Processing, Statistical Modeling, R Programming, Supervised Learning, Machine Learning Algorithms, Machine Learning

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Statistical Machine Learning, Regression Analysis, Classification And Regression Tree (CART), Statistical Methods, Data Science, Decision Tree Learning, Predictive Modeling, Statistical Analysis, Artificial Neural Networks, R Programming, Supervised Learning, Probability & Statistics, Dimensionality Reduction, Advanced Analytics, Random Forest Algorithm, Machine Learning, Sampling (Statistics)

  • Status: Free Trial

    Skills you'll gain: Supervised Learning, Feature Engineering, Predictive Modeling, Predictive Analytics, Data Manipulation, Applied Machine Learning, Design Thinking, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Data Science, Data Cleansing, Classification And Regression Tree (CART), Regression Analysis, Tensorflow, Statistical Methods, Deep Learning

  • Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Data Transformation, Supervised Learning, Predictive Modeling, Feature Engineering, Scikit Learn (Machine Learning Library), Data Processing