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  • Random Forest Algorithm

More to explore:

Results for "random forest algorithm"


  • C

    Coursera

    Logistic Regression with NumPy and Python

    Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Logistic Regression, NumPy, Data Analysis, Jupyter, Data Science, Machine Learning, Machine Learning Algorithms, Python Programming, Supervised Learning, Classification Algorithms, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    396 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Machine Learning for Computer Vision

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Matlab, Machine Learning Methods, Data Preprocessing, Machine Learning, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Deep Learning, Data Validation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Columbia University

    Decision Making and Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Markov Model, Deep Learning, Data-Driven Decision-Making, Decision Support Systems, Simulations, Probability Distribution, Statistical Methods

    4.3
    Rating, 4.3 out of 5 stars
    ·
    22 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of London

    Problems, Algorithms and Flowcharts

    Skills you'll gain: Pseudocode, Algorithms, Computational Thinking, Computer Science, Data Structures, Diagram Design, Program Development

    4.4
    Rating, 4.4 out of 5 stars
    ·
    26 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Predictive Modeling and Machine Learning with MATLAB

    Skills you'll gain: Supervised Learning, Model Evaluation, Classification Algorithms, Applied Machine Learning, Matlab, Regression Analysis, Data Preprocessing, Predictive Modeling, Machine Learning, Feature Engineering, Decision Tree Learning, Logistic Regression, Data Cleansing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    119 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Amazon

    Data Structures and Algorithms

    Skills you'll gain: JUnit, Test Driven Development (TDD), Version Control, Git (Version Control System), GitHub, Performance Tuning, Unit Testing, Data Structures, Java Programming, Algorithms, Software Testing, Java, Computer Programming, Software Development, Scalability

    4.1
    Rating, 4.1 out of 5 stars
    ·
    57 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Python: A Guided Journey from Introduction to Application

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Matplotlib, File I/O, Generative Adversarial Networks (GANs), NumPy, Object Oriented Programming (OOP), Deep Learning, Image Analysis, Plot (Graphics), Machine Learning Algorithms, Object Oriented Design, Applied Machine Learning, Integrated Development Environments, Pandas (Python Package), Python Programming, Machine Learning, Event-Driven Programming, Programming Principles, Computer Programming

    4
    Rating, 4 out of 5 stars
    ·
    76 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    The Total Data Quality Framework

    Skills you'll gain: Data Quality, Data Collection, Data Management, Data Validation, Data Analysis, Data Preprocessing, Threat Detection, Data Access, Sampling (Statistics)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    48 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Principles of Computing (Part 2)

    Skills you'll gain: Computational Thinking, Programming Principles, Algorithms, Data Structures, Theoretical Computer Science, Computer Programming, Python Programming, Computer Science, Verification And Validation, Game Theory, Mathematical Modeling, Test Case, Simulations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    365 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Pattern Discovery in Data Mining

    Skills you'll gain: Data Mining, Big Data, Anomaly Detection, Text Mining, Unstructured Data, Exploratory Data Analysis, Spatial Analysis, Advanced Analytics, Image Analysis, Algorithms, Classification Algorithms, Information Privacy

    4.3
    Rating, 4.3 out of 5 stars
    ·
    326 reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Statistics For Data Science

    Skills you'll gain: Correlation Analysis, Probability & Statistics, Statistics, Statistical Analysis, Data Analysis, Data Science, Probability Distribution, Descriptive Statistics, Statistical Inference

    4
    Rating, 4 out of 5 stars
    ·
    42 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    I

    Infosec

    CompTIA Security+ 701

    Skills you'll gain: Cybersecurity, Cyber Attacks, Incident Response, Information Systems Security, Application Security, Security Management, Computer Security Incident Management, Network Security, IT Security Architecture, Threat Management, Security Information and Event Management (SIEM), Cyber Threat Intelligence, Security Controls, Identity and Access Management, Cryptography, Threat Detection, Data Security, Computer Security, Encryption, Risk Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    599 reviews

    Intermediate · Course · 3 - 6 Months

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In summary, here are 10 of our most popular random forest algorithm courses

  • Logistic Regression with NumPy and Python: Coursera
  • Machine Learning for Computer Vision: MathWorks
  • Decision Making and Reinforcement Learning: Columbia University
  • Problems, Algorithms and Flowcharts: University of London
  • Predictive Modeling and Machine Learning with MATLAB: MathWorks
  • Data Structures and Algorithms: Amazon
  • Python: A Guided Journey from Introduction to Application: Arizona State University
  • The Total Data Quality Framework: University of Michigan
  • Principles of Computing (Part 2): Rice University
  • Pattern Discovery in Data Mining: University of Illinois Urbana-Champaign

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