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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
      E

      Emory University

      Foundations of Marketing Analytics

      Skills you'll gain: Pivot Tables And Charts, Customer Analysis, Probability Distribution, Customer Demand Planning, Marketing Analytics, Forecasting, Descriptive Statistics, Microsoft Excel, Social Media Marketing, Exploratory Data Analysis, Probability, Statistical Analysis, Marketing Effectiveness, Target Market, Social Media, Revenue Forecasting, Time Series Analysis and Forecasting, Predictive Modeling, Statistics, Marketing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      517 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 2: Inference

      Skills you'll gain: Bayesian Network, Bayesian Statistics, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      488 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Portfolio Selection and Risk Management

      Skills you'll gain: Portfolio Management, Investment Management, Investments, Financial Market, Risk Management, Equities, Finance, Return On Investment, Risk Analysis, Statistical Methods, Probability Distribution, Correlation Analysis, Decision Making, Quantitative Research, Variance Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      612 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Hypothesis Testing in Public Health

      Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Inference, Scientific Methods, Statistical Analysis, Quantitative Research, Medical Science and Research, Probability & Statistics, Public Health

      4.8
      Rating, 4.8 out of 5 stars
      ·
      639 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Support Vector Machines in Python, From Start to Finish

      Skills you'll gain: Scikit Learn (Machine Learning Library), Tensorflow, Cloud Computing, Classification And Regression Tree (CART), Supervised Learning, Applied Machine Learning, Machine Learning Methods, Pandas (Python Package), Data Visualization, Data Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      155 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      M

      Meta

      Statistics Foundations

      Skills you'll gain: Bayesian Statistics, Descriptive Statistics, Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Data Modeling, Statistics, Probability & Statistics, Statistical Analysis, Statistical Methods, Data Analysis Software, Statistical Modeling, Marketing Analytics, Tableau Software, Data Analysis, Spreadsheet Software, Quantitative Research, Analytics, Descriptive Analytics, Time Series Analysis and Forecasting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      339 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Exploring and Producing Data for Business Decision Making

      Skills you'll gain: Descriptive Statistics, Sampling (Statistics), Probability Distribution, Business Analytics, Statistics, Microsoft Excel, Analytics, Statistical Inference, Data Analysis, Exploratory Data Analysis, Probability & Statistics, Statistical Analysis, Histogram, Data Collection, Data Presentation, Graphing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Introduction to Machine Learning with Python

      Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative AI, Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Computer Vision, Computer Programming, Regression Analysis

      3.7
      Rating, 3.7 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Maryland, College Park

      Framework for Data Collection and Analysis

      Skills you'll gain: Surveys, Research Methodologies, Data Collection, Research Design, Data Quality, Data Analysis, Data Validation, Sampling (Statistics), Big Data, Statistical Methods

      4.2
      Rating, 4.2 out of 5 stars
      ·
      764 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Fitting Statistical Models to Data with Python

      Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Analysis, Statistical Programming, Regression Analysis, Predictive Modeling, Jupyter, Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Probability Distribution

      4.4
      Rating, 4.4 out of 5 stars
      ·
      702 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Machine Learning, Visual Recognition and NLP

      Skills you'll gain: Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Classification And Regression Tree (CART), Applied Machine Learning, Machine Learning Algorithms, Deep Learning, IBM Cloud, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Decision Tree Learning, Natural Language Processing, Feature Engineering, Scikit Learn (Machine Learning Library), Business Metrics, Computer Vision

      4.4
      Rating, 4.4 out of 5 stars
      ·
      86 reviews

      Advanced · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Machine Learning with PySpark: Customer Churn Analysis

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, PySpark, Data Processing, Data Cleansing, Data Transformation, Apache Spark, Data-Driven Decision-Making, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Application Deployment, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19 reviews

      Intermediate · Guided Project · Less Than 2 Hours

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

    • Foundations of Marketing Analytics: Emory University
    • Probabilistic Graphical Models 2: Inference: Stanford University
    • Portfolio Selection and Risk Management: Rice University
    • Hypothesis Testing in Public Health : Johns Hopkins University
    • Support Vector Machines in Python, From Start to Finish: Coursera Project Network
    • Statistics Foundations: Meta
    • Exploring and Producing Data for Business Decision Making: University of Illinois Urbana-Champaign
    • Introduction to Machine Learning with Python: Arizona State University
    • Framework for Data Collection and Analysis: University of Maryland, College Park
    • Fitting Statistical Models to Data with Python: 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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