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    • Random Forest

    Random Forest Courses Online

    Study random forest algorithms for machine learning. Learn to build and apply random forest models for classification and regression tasks.

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    Explore the Random Forest Course Catalog

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistics and Applied Data Analysis

      Skills you'll gain: Descriptive Statistics, Probability Distribution, Regression Analysis, Statistical Hypothesis Testing, Excel Formulas, Data Transformation, Data Cleansing, Statistical Analysis, Data Visualization, Sampling (Statistics), R Programming, Probability, Statistics, Data Analysis, Statistical Software, Sample Size Determination, Exploratory Data Analysis, Histogram, Statistical Methods, Microsoft Excel

      4.8
      Rating, 4.8 out of 5 stars
      ·
      38 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Stability and Capability in Quality Improvement

      Skills you'll gain: Process Capability, Sample Size Determination, Statistical Process Controls, Quality Control, Performance Measurement, Statistical Analysis, Quality Improvement, R Programming, Data Analysis Software, Variance Analysis, Probability Distribution

      Build toward a degree

      4.1
      Rating, 4.1 out of 5 stars
      ·
      17 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Hyperparameter Tuning with Keras Tuner

      Skills you'll gain: Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Performance Tuning, Machine Learning Methods, Python Programming, Machine Learning Algorithms, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      69 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Preview
      Preview
      N

      National Taiwan University

      機器學習技法 (Machine Learning Techniques)

      Skills you'll gain: Classification And Regression Tree (CART), Deep Learning, Decision Tree Learning, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Regression Analysis, Linear Algebra

      4.9
      Rating, 4.9 out of 5 stars
      ·
      35 reviews

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Predictive Modeling with Python

      Skills you'll gain: Statistical Modeling, Predictive Modeling, Exploratory Data Analysis, Probability & Statistics, Feature Engineering, Data Analysis, Statistical Methods, Statistical Inference, Statistical Hypothesis Testing, Statistical Analysis, Probability Distribution, Classification And Regression Tree (CART), Descriptive Statistics, Regression Analysis, Data Processing, Machine Learning, Data Cleansing, Data Transformation

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Python Programming for Quantum Computing

      Skills you'll gain: Object Oriented Programming (OOP), Python Programming, Computer Programming, Programming Principles, Scripting, Data Structures, Software Installation, Development Environment, NumPy, Integrated Development Environments, Computational Logic, Jupyter, Command-Line Interface, System Configuration

      4.4
      Rating, 4.4 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      É

      École Polytechnique

      Aléatoire : une introduction aux probabilités - Partie 2

      Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Advanced Mathematics, Statistical Analysis, Statistical Methods, Statistical Inference, Simulations, Sampling (Statistics)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      39 reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      RStudio for Six Sigma - Basic Descriptive Statistics

      Skills you'll gain: Descriptive Statistics, Sampling (Statistics), Statistical Visualization, Pareto Chart, Statistical Analysis, Statistics, Histogram, Statistical Software, Box Plots, R Programming, Probability Distribution, Data Science, Test Data, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      65 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistics and Data Analysis with Excel, Part 1

      Skills you'll gain: Descriptive Statistics, Excel Formulas, Data Transformation, Probability Distribution, Data Cleansing, Data Visualization, Probability, Statistics, Data Analysis, Exploratory Data Analysis, Histogram, Microsoft Excel, Box Plots, Statistical Analysis, Scatter Plots

      4.7
      Rating, 4.7 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Total Data Quality

      Skills you'll gain: Data Quality, Data Governance, Data Processing, Data Integrity, Data Access, Data Management, Data Validation, Data Strategy, Data Collection, Data Analysis, Statistical Analysis, Sampling (Statistics), Statistical Methods

      4.6
      Rating, 4.6 out of 5 stars
      ·
      52 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Preview
      Preview
      N

      Northeastern University

      Machine Learning in Healthcare: Fundamentals & Applications

      Skills you'll gain: Data Mining, Machine Learning, Predictive Modeling, Data Ethics, Health Informatics, Health Equity, Cardiology, Applied Machine Learning, Deep Learning, Artificial Intelligence, Healthcare Industry Knowledge, Random Forest Algorithm, Unsupervised Learning, Data Validation, Algorithms, Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • E

      EIT Digital

      Approximation Algorithms

      Skills you'll gain: Algorithms, Operations Research, Computational Thinking, Theoretical Computer Science, Applied Mathematics, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      33 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Statistics and Applied Data Analysis: University of Colorado Boulder
    • Stability and Capability in Quality Improvement: University of Colorado Boulder
    • Hyperparameter Tuning with Keras Tuner: Coursera Project Network
    • 機器學習技法 (Machine Learning Techniques): National Taiwan University
    • Predictive Modeling with Python : Edureka
    • Python Programming for Quantum Computing: Packt
    • Aléatoire : une introduction aux probabilités - Partie 2: École Polytechnique
    • RStudio for Six Sigma - Basic Descriptive Statistics: Coursera Project Network
    • Statistics and Data Analysis with Excel, Part 1: University of Colorado Boulder
    • Total Data Quality: University of Michigan

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

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