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  • Classification And Regression Tree Cart

Results for "classification and regression tree (cart)"


  • C

    Coursera

    Graduate Admission Prediction with Pyspark ML

    Skills you'll gain: Data Cleansing, PySpark, Data Manipulation, Data Processing, Pandas (Python Package), Data Analysis, Applied Machine Learning, Predictive Modeling, Big Data, Machine Learning, Regression Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    34 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    AWS AutoGluon for Machine Learning Classification

    Skills you'll gain: AWS SageMaker, Applied Machine Learning, Amazon Web Services, Classification And Regression Tree (CART), Predictive Modeling, Machine Learning Algorithms, Machine Learning, Python Programming, Data Visualization

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Data Analysis in R: Predictive Analysis with Regression

    Skills you'll gain: Ggplot2, Data Visualization, Regression Analysis, Predictive Analytics, Statistical Modeling, R Programming, Descriptive Statistics, Exploratory Data Analysis, Statistics, Statistical Analysis, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    13 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Linear Regression for Business Statistics

    Skills you'll gain: Statistical Hypothesis Testing, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Inference, Business Analytics, Microsoft Excel, Estimation, Data Analysis, Data Transformation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Exploratory Data Analysis & Core ML Algorithms

    Skills you'll gain: Exploratory Data Analysis, Classification And Regression Tree (CART), Predictive Modeling, Data Analysis, Regression Analysis, Supervised Learning, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Data Cleansing, Bayesian Network, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Michigan

    Data Augmented Technology Assisted Medical Decision Making

    Skills you'll gain: Healthcare Ethics, Diagnostic Tests, Statistical Methods, Patient Communication, Clinical Research, Healthcare Industry Knowledge, Probability & Statistics, Clinical Assessment, Health Informatics, Health Policy, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Health Disparities

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    M

    Maven Analytics

    Complete Visual Guide to Machine Learning

    Skills you'll gain: Unsupervised Learning, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Statistical Analysis, Data Science, Forecasting, Data Mining, Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Data Quality, Anomaly Detection, Feature Engineering, Dimensionality Reduction, Business Intelligence, Random Forest Algorithm

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Vertex AI Tabular Data: Qwik Start

    Skills you'll gain: Google Cloud Platform, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Classification And Regression Tree (CART), Cloud Computing

    Intermediate · Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 1

    Skills you'll gain: Feature Engineering, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Random Forest Algorithm, Responsible AI, Predictive Modeling, Data Import/Export, Machine Learning, Predictive Analytics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    64 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable machine learning applications: Part 5

    Skills you'll gain: Responsible AI, Histogram, Predictive Modeling, Data Visualization, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Descriptive Statistics, Data Ethics, Development Environment, Software Engineering

    4.5
    Rating, 4.5 out of 5 stars
    ·
    19 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Intermediate Data Manipulation and Machine Learning

    Skills you'll gain: Reinforcement Learning, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction, Statistical Analysis, Classification And Regression Tree (CART), Supervised Learning, Unsupervised Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, Data Manipulation

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    W

    Wesleyan University

    Regression Modeling in Practice

    Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Data Analysis, Correlation Analysis, SAS (Software), Scatter Plots, Statistical Programming, Predictive Modeling, Statistical Hypothesis Testing, Plot (Graphics), Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    274 reviews

    Mixed · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular classification and regression tree (cart) courses

  • Graduate Admission Prediction with Pyspark ML: Coursera
  • AWS AutoGluon for Machine Learning Classification: Coursera
  • Data Analysis in R: Predictive Analysis with Regression: Coursera
  • Linear Regression for Business Statistics: Rice University
  • Exploratory Data Analysis & Core ML Algorithms: Packt
  • Data Augmented Technology Assisted Medical Decision Making : University of Michigan
  • Complete Visual Guide to Machine Learning: Maven Analytics
  • Vertex AI Tabular Data: Qwik Start: Google Cloud
  • Interpretable Machine Learning Applications: Part 1: Coursera
  • Interpretable machine learning applications: Part 5: Coursera

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