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  • Decision Tree Learning

Results for "decision tree learning"


  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Decision-Making in Dynamic Environments

    Skills you'll gain: Reinforcement Learning, Decision Intelligence, AI Orchestration, Responsible AI, Agentic systems, Agentic Workflows, Data Ethics, Artificial Intelligence, Machine Learning Methods, Distributed Computing, AI Security, Model Training, Model Optimization

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    From Data to Decisions: Finding Patterns with AI

    Skills you'll gain: Statistical Methods, AI literacy, Statistical Analysis, Data Visualization, Generative AI, Statistical Visualization, Statistical Hypothesis Testing, Data Presentation, Data Storytelling, Box Plots, Data Analysis, Probability & Statistics, Plot (Graphics), Data-Driven Decision-Making, Exploratory Data Analysis, Artificial Intelligence, Analytics, Technical Communication, Statistical Inference, Graphing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    EDUCBA

    Python: Implement & Evaluate Random Forests for ML

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Machine Learning Algorithms

    Skills you'll gain: Machine Learning Algorithms, Decision Tree Learning, Classification Algorithms, Statistical Machine Learning, Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Applied Machine Learning, Linear Algebra, Bayesian Statistics, Probability & Statistics

    3.7
    Rating, 3.7 out of 5 stars
    ·
    9 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Grow Trees & Powerful Ensembles

    Skills you'll gain: Classification And Regression Tree (CART), Model Deployment, Model Optimization, Decision Tree Learning, Predictive Modeling, Model Evaluation, Model Training, Predictive Analytics, Machine Learning Methods, Random Forest Algorithm, Applied Machine Learning, Data-Driven Decision-Making, Performance Tuning, Feasibility Studies, Scikit Learn (Machine Learning Library), Data Visualization, Performance Analysis, Statistical Methods, Cost Benefit Analysis, Performance Measurement

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    PySpark: Apply & Evaluate Predictive ML Models

    5
    Rating, 5 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Sample-based Learning Methods

    Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Sampling (Statistics), Machine Learning Algorithms, Simulations, Machine Learning, Algorithms, Applied Machine Learning, Statistical Methods, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Classification Analysis

    Skills you'll gain: Classification Algorithms, Analytical Skills, Data Analysis, Model Evaluation, Logistic Regression, Applied Machine Learning, Supervised Learning, Decision Tree Learning, Machine Learning Algorithms, Machine Learning Methods, Predictive Modeling, Feature Engineering, Fine-tuning, Model Training, Bayesian Statistics

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Scikit-Learn to Solve Regression Machine Learning Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Classification Algorithms, Model Training, Machine Learning, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Apply R Techniques for Telecom Customer Churn Prediction

    Skills you'll gain: Feature Engineering, Data Preprocessing, Model Training, Model Optimization, Applied Machine Learning, Model Evaluation, R Programming, Data Transformation, Data Cleansing, Predictive Modeling, Predictive Analytics, Supervised Learning, Classification Algorithms, Machine Learning Algorithms

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Python: Logistic Regression & Supervised ML

    Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Model Deployment, Decision Tree Learning, Logistic Regression, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Data Preprocessing, Python Programming, Pandas (Python Package), Seaborn, NumPy, Data Visualization, Statistical Visualization

    4.4
    Rating, 4.4 out of 5 stars
    ·
    17 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Data Warehousing and Business Intelligence

    Skills you'll gain: Extract, Transform, Load, Data Warehousing, Data Mining, Business Intelligence, Star Schema, Snowflake Schema, Data Modeling, Data Architecture, Unsupervised Learning, Business Analytics, Data-Driven Decision-Making, Machine Learning Methods, Databases, Predictive Modeling, Cloud Computing, Supervised Learning, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    131 reviews

    Beginner · Course · 1 - 4 Weeks

1…678…834

In summary, here are 10 of our most popular decision tree learning courses

  • Decision-Making in Dynamic Environments: LearnQuest
  • From Data to Decisions: Finding Patterns with AI: Vanderbilt University
  • Python: Implement & Evaluate Random Forests for ML: EDUCBA
  • Machine Learning Algorithms: Sungkyunkwan University
  • Grow Trees & Powerful Ensembles: Coursera
  • PySpark: Apply & Evaluate Predictive ML Models: EDUCBA
  • Sample-based Learning Methods: University of Alberta
  • Classification Analysis: University of Colorado Boulder
  • Scikit-Learn to Solve Regression Machine Learning Problems: Coursera
  • Apply R Techniques for Telecom Customer Churn Prediction: EDUCBA

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