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  • Random Forest Algorithm

Results for "random forest algorithm"


  • Status: Preview
    Preview
    I

    IIMA - IIM Ahmedabad

    Pre-MBA Statistics

    Skills you'll gain: Sampling (Statistics), Probability, Probability & Statistics, Statistical Hypothesis Testing, Statistics, Data Literacy, Statistical Visualization, Probability Distribution, Statistical Methods, Statistical Inference, Estimation, Descriptive Statistics, Sample Size Determination, Data Analysis, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    294 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    Universidad Nacional Autónoma de México

    Estadística y probabilidad

    Skills you'll gain: Descriptive Statistics, Data Analysis, Correlation Analysis, Statistical Analysis, Data Presentation, Statistical Visualization, Probability, Histogram, Data-Driven Decision-Making, Regression Analysis, Probability Distribution, Box Plots, Graphing, Scatter Plots

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Computer Communications

    Skills you'll gain: TCP/IP, Local Area Networks, Routing Protocols, Network Routing, Digital Communications, OSI Models, Network Protocols, Dynamic Host Configuration Protocol (DHCP), Network Planning And Design, Network Security, Network Architecture, General Networking, Computer Networking, Network Infrastructure, Network Performance Management, Wireless Networks, Graph Theory, Telecommunications, Software-Defined Networking, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Trees and Graphs: Basics

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Tree Maps, Network Analysis, Computational Thinking, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    182 reviews

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Predictive Modeling, Regression Analysis, Decision Tree Learning, Machine Learning, Scikit Learn (Machine Learning Library), Exploratory Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    25 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Exploratory Data Analysis, Machine Learning, Classification Algorithms, Random Forest Algorithm, Statistical Visualization, Responsible AI

    4.8
    Rating, 4.8 out of 5 stars
    ·
    16 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    P

    Princeton University

    Computer Science: Programming with a Purpose

    Skills you'll gain: Programming Principles, Computer Programming, Object Oriented Programming (OOP), Performance Tuning, Data Structures, Java Programming, Java, Program Development, File I/O, Computational Thinking, Computer Science, Algorithms, Animations, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.3K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure AI Fundamentals AI-900 Exam Prep

    Skills you'll gain: Responsible AI, Anomaly Detection, Image Analysis, Unsupervised Learning, Computer Vision, Artificial Intelligence, Natural Language Processing, Microsoft Azure, Applied Machine Learning, AI Enablement, Data Ethics, Machine Learning, MLOps (Machine Learning Operations), Regression Analysis, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, AI Workflows, Model Deployment, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Convolutional Neural Networks in TensorFlow

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    8.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Prediction and Control with Function Approximation

    Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning Algorithms, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    846 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    R

    Real Madrid Graduate School Universidad Europea

    IA y Salud en Fútbol: Futuras Perspectivas, Transformaciones

    Skills you'll gain: Sports Medicine, AI Personalization, Data Ethics, Responsible AI, Rehabilitation, Precision Medicine, Athletic Training, Injury Prevention, Augmented and Virtual Reality (AR/VR), Artificial Intelligence, Health Systems, Exercise Science, Health Technology, Healthcare Ethics, Emerging Technologies, Real Time Data, Machine Learning, Human Machine Interfaces, Predictive Modeling, Risk Management

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Calculus for Machine Learning and Data Science

    Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Machine Learning Algorithms, Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning, Visualization (Computer Graphics), Derivatives

    4.8
    Rating, 4.8 out of 5 stars
    ·
    939 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Pre-MBA Statistics: IIMA - IIM Ahmedabad
  • Estadística y probabilidad: Universidad Nacional Autónoma de México
  • Computer Communications: University of Colorado System
  • Trees and Graphs: Basics: University of Colorado Boulder
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Interpretable Machine Learning Applications: Part 4: Coursera
  • Computer Science: Programming with a Purpose: Princeton University
  • Microsoft Azure AI Fundamentals AI-900 Exam Prep: Microsoft
  • Convolutional Neural Networks in TensorFlow: DeepLearning.AI
  • Prediction and Control with Function Approximation: University of Alberta

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