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)"

  • Skills you'll gain: Text Mining, Natural Language Processing, Cloud API, Google Cloud Platform, Unstructured Data, Classification And Regression Tree (CART), Application Programming Interface (API), Data Analysis

  • Status: Free Trial

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Generative AI, Keras (Neural Network Library), NumPy, Data Processing, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Generative Model Architectures, Development Environment, Pandas (Python Package), Image Analysis, Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Artificial Intelligence, Machine Learning, Data Science

  • Status: Free

    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

  • Status: Free Trial

    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

  • Skills you'll gain: Supervised Learning, Unsupervised Learning, Artificial Intelligence, Data Ethics, Dimensionality Reduction, Probability & Statistics, Responsible AI, Machine Learning Methods, Machine Learning, Natural Language Processing, Applied Machine Learning, Linear Algebra, Semantic Web, Classification And Regression Tree (CART), Machine Learning Algorithms, Statistical Machine Learning, Statistical Methods, Predictive Modeling, Bayesian Statistics, Scientific Visualization

  • Status: New
    Status: Preview

    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, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Generative Model Architectures

  • Skills you'll gain: Data Ethics, Data Storytelling, Statistical Machine Learning, Data Presentation, Regression Analysis, Statistical Hypothesis Testing, Exploratory Data Analysis, Bayesian Statistics, Data Analysis, Statistical Visualization, Data Literacy, Classification And Regression Tree (CART), Network Analysis, Data Visualization, Statistical Methods, Box Plots, Statistical Modeling, Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Object Oriented Programming (OOP)