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  • Random Forest Algorithm

Results for "random forest algorithm"


  • Status: Free Trial
    Free Trial
    G

    Google

    IT Security: Defense against the digital dark arts

    Skills you'll gain: IT Security Architecture, Information Systems Security, Network Security, Application Security, Security Controls, Cybersecurity, Security Awareness, Cyber Attacks, Encryption, Data Security, Cryptography, Security Strategy, Security Management, Computer Security Awareness Training, Cyber Security Policies, Authorization (Computing), Threat Management, Firewall, Authentications, Identity and Access Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    26K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    C and Go: Classical and Modern Programming

    Skills you'll gain: Go (Programming Language), File I/O, Data Structures, Programming Principles, Object Oriented Design, Object Oriented Programming (OOP), Debugging, Computer Programming, Unit Testing, C (Programming Language), Program Development, Computer Science, Software Testing, Algorithms, Code Reusability, Graph Theory, C and C++, Computational Logic, Memory Management

    4.5
    Rating, 4.5 out of 5 stars
    ·
    7.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Time Series Analysis and Forecasting, Statistical Inference, Statistical Methods, R Programming, Forecasting, Statistical Programming, R (Software), Probability & Statistics, Statistical Modeling, Technical Communication, Probability, Statistics, Statistical Analysis, Statistical Reporting, Statistical Software, Probability Distribution, Data Analysis, Markov Model, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.5K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Applied Machine Learning, Model Training, Predictive Modeling, Machine Learning Algorithms, Statistical Methods, Machine Learning, Dimensionality Reduction, Python Programming, Logistic Regression, Model Optimization, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    18K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning Methods, Machine Learning, Image Analysis, Machine Learning Algorithms, AI Personalization, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Machine Learning, Model Training, Logistic Regression, Data Mining

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Fundamentals of Quantitative Modeling

    Skills you'll gain: Business Modeling, Mathematical Modeling, Regression Analysis, Statistical Modeling, Risk Analysis, Data Modeling, Business Analysis, Predictive Modeling, Forecasting, Predictive Analytics, Statistical Methods, Simulation and Simulation Software, Probability, Model Optimization, Logistic Regression, Probability Distribution, Vocabulary

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Introduction to Probability and Data with R

    Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Probability & Statistics, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Methods, Statistical Analysis, Statistical Software, Descriptive Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

    Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Model Training, Applied Machine Learning, Artificial Intelligence, Data Preprocessing, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    Six Sigma Yellow Belt

    Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Lean Methodologies, Process Improvement, Data Collection, Quality Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Kaizen Methodology, Process Analysis, Process Improvement and Optimization, Probability Distribution, Regression Analysis, Project Design, Quality Assessment, Business Process, Statistical Process Controls, Project Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.3K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Pennsylvania

    Computational Thinking for Problem Solving

    Skills you'll gain: Computational Thinking, Algorithms, Programming Principles, Program Development, Pseudocode, Problem Solving, Analytical Skills, Python Programming, Computer Systems, Data Structures, Computer Hardware, Computer Programming, Object Oriented Programming (OOP), Analysis, Computer Architecture, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Unsupervised Learning, Recommenders, Reinforcement Learning

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Responsible AI, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction

    4.9
    Rating, 4.9 out of 5 stars
    ·
    5.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Cybersecurity Fundamentals

    Skills you'll gain: Email Security, Public Key Infrastructure, Encryption, Network Security, Cryptography, IT Security Architecture, Cybersecurity, Endpoint Detection and Response, Hardening, Data Security, Cyber Threat Hunting, Cryptographic Protocols, Advanced Encryption Standard (AES), Key Management, Authorization (Computing), Cyber Attacks, Information Technology, Computer Security Incident Management, Cyber Security Strategy, Technical Support and Services

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.1K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • IT Security: Defense against the digital dark arts: Google
  • C and Go: Classical and Modern Programming: University of California, Santa Cruz
  • Bayesian Statistics: University of California, Santa Cruz
  • Machine Learning with Python: IBM
  • Machine Learning: University of Washington
  • Fundamentals of Quantitative Modeling: University of Pennsylvania
  • Introduction to Probability and Data with R: Duke University
  • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
  • Six Sigma Yellow Belt: Kennesaw State University
  • Computational Thinking for Problem Solving: University of Pennsylvania

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