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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

    • G

      Google Cloud

      Data Analysis with the FraudFinder Workshop

      Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Real Time Data, Applied Machine Learning, MLOps (Machine Learning Operations), Anomaly Detection, Application Deployment, Data Store, Jupyter, Google Cloud Platform, Predictive Modeling, Data Analysis, Data Processing, Data Warehousing, Machine Learning, Continuous Monitoring, Statistical Modeling

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Methods for Solving Problems

      Skills you'll gain: Problem Solving, Computational Thinking, Statistical Modeling, Probability Distribution, Behavioral Economics, Algorithms, Analytical Skills, Psychology

      4.5
      Rating, 4.5 out of 5 stars
      ·
      182 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      É

      École Polytechnique

      Aléatoire : une introduction aux probabilités - Partie 1

      Skills you'll gain: Probability, Probability Distribution, Simulations, Probability & Statistics, Statistical Methods, Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      105 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      Universidade de São Paulo

      Off the Clock: The Many Faces of Time

      Skills you'll gain: Timelines, Cultural Diversity, Anthropology, Liberal Arts, Psychology, Environmental Science, Physics, Biology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 3 Months

    • P

      Packt

      Clustering and Classification with Machine Learning in R

      Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Exploratory Data Analysis, Classification And Regression Tree (CART), Feature Engineering, Random Forest Algorithm, Data Processing, Statistical Programming, Predictive Modeling, Data Manipulation, Regression Analysis

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Sampling People, Networks and Records

      Skills you'll gain: Sampling (Statistics), Sample Size Determination, Data Collection, Surveys, Quantitative Research, Statistical Methods, Statistical Analysis, Statistical Software, Probability & Statistics, Probability, Research Methodologies, Network Analysis

      4.3
      Rating, 4.3 out of 5 stars
      ·
      104 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Maryland, College Park

      Dealing With Missing Data

      Skills you'll gain: Sampling (Statistics), Statistical Programming, Data Cleansing, Data Quality, Data Analysis Software, Statistical Analysis, Statistical Methods, Statistical Modeling, R Programming, Regression Analysis, Statistical Inference

      3.8
      Rating, 3.8 out of 5 stars
      ·
      135 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      O

      O.P. Jindal Global University

      Unsupervised Learning and Its Applications in Marketing

      Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Customer Insights, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Scikit Learn (Machine Learning Library), Marketing, Unstructured Data, Statistical Machine Learning, Target Audience, Python Programming, Market Analysis, Exploratory Data Analysis, Data-Driven Decision-Making, Algorithms

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Probabilistic Deep Learning with TensorFlow 2

      Skills you'll gain: Generative AI, Tensorflow, Deep Learning, Image Analysis, Bayesian Statistics, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Dimensionality Reduction

      4.7
      Rating, 4.7 out of 5 stars
      ·
      109 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Preview
      Preview
      J

      Johns Hopkins University

      Foundational Mathematics for AI

      Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra, Machine Learning Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      R Ultimate 2023 - R for Data Science and Machine Learning

      Skills you'll gain: Rmarkdown, Shiny (R Package), Deep Learning, Data Import/Export, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Plotly, Applied Machine Learning, Machine Learning Algorithms, Web Scraping, Artificial Intelligence, Dimensionality Reduction, Interactive Data Visualization, Statistical Analysis, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      E

      Emory University

      Managing Uncertainty in Marketing Analytics

      Skills you'll gain: Probability Distribution, Marketing Analytics, Probability, Microsoft Excel, Statistics, Statistical Modeling, Forecasting, Decision Making, Simulation and Simulation Software, Insurance and Warranty Claims Processing, Risk Analysis

      4.3
      Rating, 4.3 out of 5 stars
      ·
      68 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Data Analysis with the FraudFinder Workshop: Google Cloud
    • Methods for Solving Problems: University of Colorado Boulder
    • Aléatoire : une introduction aux probabilités - Partie 1: École Polytechnique
    • Off the Clock: The Many Faces of Time: Universidade de São Paulo
    • Clustering and Classification with Machine Learning in R: Packt
    • Sampling People, Networks and Records: University of Michigan
    • Dealing With Missing Data: University of Maryland, College Park
    • Unsupervised Learning and Its Applications in Marketing: O.P. Jindal Global University
    • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
    • Foundational Mathematics for AI: Johns Hopkins 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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