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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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    Get in-depth knowledge of a subject by completing a series of courses and projects.
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    Explore the Random Forest Course Catalog

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

      EDUCBA

      Mastering Python Modules and File Systems

      Skills you'll gain: File Systems, Command-Line Interface, Operating Systems, Python Programming, Package and Software Management, Scripting, User Interface (UI), Data Import/Export, Data Structures, Simulations

      Mixed · Course · 1 - 4 Weeks

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

      Coursera

      Foundations of Machine Learning

      Skills you'll gain: Supervised Learning, Unsupervised Learning, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Forecasting, Data Processing, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling, Data Transformation, Data Cleansing

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Data Science Fundamentals Part 2: Unit 2

      Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Data Science Fundamentals Part 2: Unit 3

      Skills you'll gain: Predictive Modeling, Statistical Modeling, Predictive Analytics, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Supervised Learning, Machine Learning, Performance Metric

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Discrete-Time Markov Chains and Monte Carlo Methods

      Skills you'll gain: Mathematical Modeling, Statistical Modeling, Machine Learning Algorithms, Generative AI Agents, Artificial Intelligence

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Probability Foundations for Data Science and AI

      Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Bayesian Statistics, Statistical Methods, Data Analysis, Statistical Inference, Statistical Analysis, Artificial Intelligence

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      256 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      The Power of Statistics

      Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Statistical Hypothesis Testing, Data Analysis, Probability Distribution, Statistics, Data Science, Statistical Analysis, A/B Testing, Statistical Methods, Probability, Statistical Inference, Statistical Programming, Python Programming, Technical Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      835 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Statistics, Data Visualization, Statistical Hypothesis Testing, Web Scraping, Relational Databases, Stored Procedure, Data Import/Export, Data Science, Programming Principles, Computer Programming Tools, Data Visualization Software, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      73K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Natural Language Processing, Algorithms, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      M

      Michigan State University

      Forest Carbon Credits and Initiatives

      Skills you'll gain: Project Design, Climate Change Mitigation, Sustainability Reporting, Project Finance, Verification And Validation, Environment and Resource Management, Continuous Monitoring, Sustainability Standards, Project Management, Feasibility Studies, Cost Benefit Analysis, Market Dynamics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      30 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Probability & Statistics for Machine Learning & Data Science

      Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Statistical Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      600 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      N

      Northeastern University

      Statistical Learning for Engineering Part 2

      Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Generative Model Architectures

      Intermediate · Course · 1 - 3 Months

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

    • Mastering Python Modules and File Systems: EDUCBA
    • Foundations of Machine Learning: Coursera
    • Data Science Fundamentals Part 2: Unit 2: Pearson
    • Data Science Fundamentals Part 2: Unit 3: Pearson
    • Discrete-Time Markov Chains and Monte Carlo Methods: University of Colorado Boulder
    • Probability Foundations for Data Science and AI: University of Colorado Boulder
    • The Power of Statistics: Google
    • Data Science Fundamentals with Python and SQL: IBM
    • Probabilistic Graphical Models: Stanford University
    • Forest Carbon Credits and Initiatives: Michigan State University

    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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