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  • Decision Tree Learning

Results for "decision tree learning"


  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Prediction and Control with Function Approximation

    Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Deep Learning, Feature Engineering, Machine Learning Algorithms, Machine Learning, Supervised Learning, Artificial Neural Networks, Model Optimization, Model Training, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    849 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science Decisions in Time: Using Data Effectively

    Skills you'll gain: Reinforcement Learning, Data-Driven Decision-Making, Markov Model, Data Analysis, Time Series Analysis and Forecasting, Bayesian Statistics, Decision Making, Statistical Methods, Anomaly Detection, Probability Distribution, Statistical Analysis, Sampling (Statistics), Model Optimization, Clinical Trials

    Intermediate · Course · 1 - 3 Months

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

    Coursera

    ML Concepts, Models & Workflow Essentials

    Skills you'll gain: Model Training, Java Programming, Java, Feature Engineering, Machine Learning Methods, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Data Pipelines

    Advanced · Course · 1 - 4 Weeks

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

    Coursera

    Deploy Decision Platforms in Real-Time

    Skills you'll gain: Apache Kafka, Real Time Data, Performance Testing, Decision Intelligence, Performance Stress Testing, Scalability, Data Pipelines, Apache Spark, Verification And Validation, Data-Driven Decision-Making, System Monitoring, Service Level, Usability

    Intermediate · Course · 1 - 4 Weeks

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

    EDUCBA

    Analyze Advanced Data Using Minitab Regression Models

    Skills you'll gain: Classification And Regression Tree (CART), Minitab, Decision Tree Learning, Regression Analysis, Predictive Modeling, Statistical Modeling, Business Analytics, Statistical Methods, Advanced Analytics, Logistic Regression, Data-Driven Decision-Making, Scatter Plots, Plot (Graphics), Model Evaluation, Exploratory Data Analysis, Statistical Analysis, Case Studies, Responsible AI

    Mixed · Course · 1 - 4 Weeks

  • 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: Preview
    Preview
    E

    EDUCBA

    R: Design & Evaluate Random Forests for Attrition

    Skills you'll gain: Model Evaluation, Data Preprocessing, Model Optimization, People Analytics, Model Training, Workforce Management, Fine-tuning, Decision Tree Learning, Classification Algorithms

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Decision-Making in Dynamic Environments

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

    Beginner · Course · 1 - 4 Weeks

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

    Edureka

    Applied Machine Learning Without Coding

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Data Science, Statistical Modeling, Predictive Modeling, Machine Learning Methods, Exploratory Data Analysis, Machine Learning, Data Analysis, Applied Machine Learning, Machine Learning Software, Feature Engineering, Random Forest Algorithm, Supervised Learning, Logistic Regression, Data Processing, Model Optimization, Data Manipulation, Data Visualization

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    O

    O.P. Jindal Global University

    Supervised Learning and Its Applications in Marketing

    Skills you'll gain: Marketing Analytics, Supervised Learning, Customer Analysis, Customer Retention, Data-Driven Marketing, Applied Machine Learning, Predictive Analytics, Marketing, Scikit Learn (Machine Learning Library), Machine Learning Methods, AI Personalization, Customer Insights, Machine Learning, Model Deployment, Predictive Modeling, Machine Learning Algorithms, Python Programming, Personalized Service, Model Training, Model Evaluation

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Diabetes Prediction With Pyspark MLLIB

    Skills you'll gain: Data Preprocessing, Logistic Regression, Data Cleansing, Apache Spark, PySpark, Data Manipulation, Applied Machine Learning, Predictive Modeling, Data Science, Machine Learning, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 1

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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    108 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • Prediction and Control with Function Approximation: University of Alberta
  • Data Science Decisions in Time: Using Data Effectively: Johns Hopkins University
  • ML Concepts, Models & Workflow Essentials: Coursera
  • Deploy Decision Platforms in Real-Time: Coursera
  • Analyze Advanced Data Using Minitab Regression Models: EDUCBA
  • Apply R Techniques for Telecom Customer Churn Prediction: EDUCBA
  • R: Design & Evaluate Random Forests for Attrition: EDUCBA
  • Decision-Making in Dynamic Environments: LearnQuest
  • Applied Machine Learning Without Coding: Edureka
  • Supervised Learning and Its Applications in Marketing: O.P. Jindal Global University

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