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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: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Exploratory Data Analysis & Core ML Algorithms

      Skills you'll gain: Exploratory Data Analysis, Applied Machine Learning, Machine Learning Algorithms, Data Analysis, Supervised Learning, Classification And Regression Tree (CART), Statistical Machine Learning, Machine Learning, Predictive Modeling, Regression Analysis, Decision Tree Learning, Feature Engineering, Data Processing, Data Cleansing, Bayesian Statistics

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      T

      The University of Chicago

      Machine Learning: Concepts and Applications

      Skills you'll gain: Unsupervised Learning, Keras (Neural Network Library), Dimensionality Reduction, Deep Learning, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Predictive Modeling, Scikit Learn (Machine Learning Library), Pandas (Python Package), Applied Machine Learning, Supervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Random Forest Algorithm, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Artificial Neural Networks, Tensorflow

      3.8
      Rating, 3.8 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      The DMAIC Framework - Define and Measure Phase

      Skills you'll gain: Statistics, Process Capability, Probability & Statistics, Data Collection, Data Analysis, Lean Six Sigma, Project Management, Sampling (Statistics), Six Sigma Methodology, Process Analysis, Descriptive Statistics, Performance Metric, Statistical Analysis, Project Planning, Work Breakdown Structure, Project Management Life Cycle, Business Metrics, Stakeholder Management, Quality Control

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Using probability distributions for real world problems in R

      Skills you'll gain: Probability Distribution, Statistical Methods, Statistical Hypothesis Testing, Statistical Inference, Statistical Visualization, Statistics, Data Visualization, R Programming, Probability, Exploratory Data Analysis, Data Science, Statistical Modeling, Data Analysis, Statistical Analysis, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      30 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Interpretable Machine Learning Applications: Part 2

      Skills you'll gain: Classification And Regression Tree (CART), Data Processing, Applied Machine Learning, Decision Tree Learning, Data Transformation, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Machine Learning, Data Analysis, Exploratory Data Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      22 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Preview
      Preview
      U

      Universidad Nacional Autónoma de México

      Estadística y probabilidad: principios de Inferencia

      Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability Distribution, Probability & Statistics, Probability, Sampling (Statistics), Statistical Analysis, Descriptive Statistics

      3.1
      Rating, 3.1 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Machine Learning and Emerging Technologies in Cybersecurity

      Skills you'll gain: Intrusion Detection and Prevention, Threat Detection, Cybersecurity, Computer Security Incident Management, Applied Machine Learning, Incident Response, Network Security, Machine Learning, Machine Learning Algorithms, Predictive Modeling, Anomaly Detection, Personally Identifiable Information, Unsupervised Learning, Data Sharing, Supervised Learning, Information Privacy, Network Architecture, Artificial Neural Networks

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistical Learning for Data Science

      Skills you'll gain: Statistical Modeling, R Programming, Statistical Machine Learning, Data Science, Classification And Regression Tree (CART), Decision Tree Learning, Regression Analysis, Statistical Methods, Predictive Modeling, Applied Machine Learning, Supervised Learning, Probability & Statistics, Dimensionality Reduction, Advanced Analytics, Machine Learning Algorithms, Statistical Analysis, Artificial Neural Networks, Unsupervised Learning, Machine Learning, Sampling (Statistics)

      Build toward a degree

      4
      Rating, 4 out of 5 stars
      ·
      19 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      What are the Chances? Probability and Uncertainty in Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Statistics, Regression Analysis, Statistical Methods, Probability, Statistical Analysis, Statistical Inference, Probability Distribution, Sampling (Statistics), Combinatorics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      17 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Linear Regression Modeling for Health Data

      Skills you'll gain: Statistical Modeling, Statistics, Statistical Methods, Statistical Inference, Probability & Statistics, Sampling (Statistics), Regression Analysis, Correlation Analysis, Statistical Analysis, Statistical Hypothesis Testing, Data Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      F

      Fundação Instituto de Administração

      Pesquisa de Mercado e Estratégia de Marketing

      Skills you'll gain: Quantitative Research, Qualitative Research, Marketing Strategies, Market Research, Marketing Analytics, Sampling (Statistics), Survey Creation, Data Collection, Strategic Marketing, Exploratory Data Analysis, Customer Insights, Market Analysis, Marketing Management, Data Analysis, Market Intelligence, Predictive Modeling, Business Research, Analysis, Data Storytelling, Surveys

      4.6
      Rating, 4.6 out of 5 stars
      ·
      37 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Statistics for Data Science Essentials

      Skills you'll gain: Probability, Probability & Statistics, Sampling (Statistics), Probability Distribution, Statistics, Data Science, Statistical Inference, Descriptive Statistics, Statistical Analysis, General Mathematics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Exploratory Data Analysis & Core ML Algorithms: Packt
    • Machine Learning: Concepts and Applications: The University of Chicago
    • The DMAIC Framework - Define and Measure Phase: SkillUp EdTech
    • Using probability distributions for real world problems in R: Coursera Project Network
    • Interpretable Machine Learning Applications: Part 2: Coursera Project Network
    • Estadística y probabilidad: principios de Inferencia: Universidad Nacional Autónoma de México
    • Machine Learning and Emerging Technologies in Cybersecurity: Johns Hopkins University
    • Statistical Learning for Data Science: University of Colorado Boulder
    • What are the Chances? Probability and Uncertainty in Statistics: Johns Hopkins University
    • Linear Regression Modeling for Health Data: 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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