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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
      U

      University of Michigan

      More Applied Data Science with Python

      Skills you'll gain: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Data Processing, Anomaly Detection, Machine Learning Methods, Data Science, Supervised Learning, Machine Learning, Data Analysis, Data Manipulation, Python Programming, Exploratory Data Analysis, Machine Learning Algorithms, Jupyter, Probability Distribution

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      How to Describe Data

      Skills you'll gain: Histogram, Data Visualization, Data Literacy, Data Presentation, Descriptive Statistics, Data Storytelling, Statistics, Data Analysis, Statistical Visualization, Sampling (Statistics), Data Validation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Probabilistic Deep Learning with TensorFlow 2

      Skills you'll gain: Tensorflow, Generative Model Architectures, 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

    • E

      EIT Digital

      Approximation Algorithms

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      33 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      RStudio for Six Sigma - Basic Descriptive Statistics

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

      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 Michigan

      The Total Data Quality Framework

      Skills you'll gain: Data Quality, Data Cleansing, Data Collection, Data Validation, Data Analysis, Data Processing, Threat Detection, Data Access, Sampling (Statistics)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      47 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Applied Kalman Filtering

      Skills you'll gain: Bayesian Network, Linear Algebra, Numerical Analysis, Mathematical Modeling, Estimation, Matlab, Simulations, Advanced Mathematics, Engineering Analysis, Time Series Analysis and Forecasting, Global Positioning Systems, Probability & Statistics, Systems Of Measurement, Applied Mathematics, Statistical Methods, Probability Distribution, Predictive Analytics, Computational Thinking, Predictive Modeling, Control Systems

      4.9
      Rating, 4.9 out of 5 stars
      ·
      23 reviews

      Intermediate · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Interpretable Machine Learning Applications: Part 4

      Skills you'll gain: Predictive Modeling, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Analysis, Data Import/Export, Google Cloud Platform, Jupyter, Decision Tree Learning, Data Processing, Machine Learning, Random Forest Algorithm, Statistical Visualization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      15 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Total Data Quality

      Skills you'll gain: Data Quality, Data Cleansing, Quantitative Research, Data Validation, Data Integrity, Data Collection, Quality Assurance, Data Processing, Data Strategy, Data Management, Data Analysis, Data Access, Statistical Analysis, Sampling (Statistics), Threat Detection

      4.6
      Rating, 4.6 out of 5 stars
      ·
      54 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Maryland, College Park

      Combining and Analyzing Complex Data

      Skills you'll gain: Statistical Analysis, STATA (Software), R (Software), Data Integration, Data Ethics, Stata, R Programming, Sampling (Statistics), Statistical Modeling, Descriptive Statistics, Regression Analysis, Informed Consent, Information Privacy

      4.1
      Rating, 4.1 out of 5 stars
      ·
      63 reviews

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Hyperparameter Tuning with Keras Tuner

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      70 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Simulation Models for Decision Making

      Skills you'll gain: Simulations, Probability Distribution, Probability, Statistics, Business Mathematics, Microsoft Excel, Operations Research, Complex Problem Solving, Business Modeling, Risk Modeling, Financial Modeling, Data Modeling, Strategic Thinking, Analysis, Statistical Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      58 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • More Applied Data Science with Python: University of Michigan
    • How to Describe Data: University of Michigan
    • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
    • Approximation Algorithms: EIT Digital
    • RStudio for Six Sigma - Basic Descriptive Statistics: Coursera Project Network
    • The Total Data Quality Framework: University of Michigan
    • Applied Kalman Filtering: University of Colorado System
    • Interpretable Machine Learning Applications: Part 4: Coursera Project Network
    • Total Data Quality: University of Michigan
    • Combining and Analyzing Complex Data: University of Maryland, College Park

    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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