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  • Random Forest

Random Forest Courses

Random Forest courses can help you learn decision tree algorithms, ensemble methods, feature selection, and model evaluation techniques. You can build skills in data preprocessing, hyperparameter tuning, and interpreting model outputs. Many courses introduce tools like Python's scikit-learn and R's randomForest package, showing how these skills are applied to tasks such as classification, regression, and handling large datasets.

Popular Random Forest Courses and Certifications


  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced ML Algorithms & Unsupervised Learning

    Skills you'll gain: Model Optimization, Dimensionality Reduction, Unsupervised Learning, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Anomaly Detection, Classification Algorithms, Linear Algebra

    Intermediate · 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, Machine Learning Methods, Applied Machine Learning, R (Software), Classification Algorithms, Statistical Machine Learning, Data Wrangling, Machine Learning Algorithms, Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Classification And Regression Tree (CART), Feature Engineering, Machine Learning Software, Data Preprocessing, Statistical Programming

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Decision Intelligence, Bayesian Statistics, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Probability & Statistics, Network Analysis, Dependency Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Random Models, Nested and Split-plot Designs

    Skills you'll gain: Statistical Analysis, Regression Analysis, Sampling (Statistics), Statistical Modeling, Statistical Methods, Data Transformation, Statistical Hypothesis Testing, Probability Distribution, Logistic Regression

    4.7
    Rating, 4.7 out of 5 stars
    ·
    36 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Machine Learning Methods, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Model Optimization, Logistic Regression, Classification Algorithms

    Intermediate · Course · 1 - 3 Months

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

    Coursera

    Build Robust Java ML Models with Entropy

    Skills you'll gain: Model Evaluation, Model Deployment, Model Training, Decision Tree Learning, Data Preprocessing, Java Programming, Classification Algorithms, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Java, Program Evaluation, Machine Learning Methods, Machine Learning Algorithms, Machine Learning, Algorithms, Program Implementation, Business Development

    Advanced · Course · 1 - 4 Weeks

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

    Coursera

    ML: Build, Train, Justify Models

    Skills you'll gain: Model Training, Predictive Modeling, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Statistical Modeling, Predictive Analytics, Technical Communication

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Automate Financial Analysis with AI Pipelines

    Skills you'll gain: Model Evaluation, Model Training, Forecasting, Financial Data, Financial Forecasting, Performance Metric, Financial Analysis, Credit Risk, AI Integrations, Applied Machine Learning, AI Workflows, Data Pipelines, Artificial Neural Networks, Automation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Build Decision Trees, SVMs, and Artificial Neural Networks

    Skills you'll gain: Classification And Regression Tree (CART), Convolutional Neural Networks, Random Forest Algorithm, Recurrent Neural Networks (RNNs), Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Computer Vision, Classification Algorithms, Model Training, Natural Language Processing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    AI for Medical Prognosis

    Skills you'll gain: Classification And Regression Tree (CART), Risk Modeling, Decision Tree Learning, Predictive Modeling, Feature Engineering, Statistical Machine Learning, Applied Machine Learning, Random Forest Algorithm, Forecasting, Model Evaluation, Biostatistics, Predictive Analytics, Data Preprocessing, Data Cleansing, Statistical Modeling, Risk Analysis, Machine Learning, Statistical Methods, Statistical Analysis, Deep Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    800 reviews

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Grow Trees & Powerful Ensembles

    Skills you'll gain: Classification And Regression Tree (CART), Model Deployment, Model Optimization, Decision Tree Learning, Predictive Modeling, Model Evaluation, Model Training, Predictive Analytics, Machine Learning Methods, Random Forest Algorithm, Applied Machine Learning, Data-Driven Decision-Making, Performance Tuning, Feasibility Studies, Scikit Learn (Machine Learning Library), Data Visualization, Performance Analysis, Statistical Methods, Cost Benefit Analysis, Performance Measurement

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    TensorFlow Prediction: Identify Penguin Species

    Skills you'll gain: Model Evaluation, Data Preprocessing, Model Training, Tensorflow, Applied Machine Learning, Feature Engineering, Decision Tree Learning, Data Cleansing, Machine Learning, Predictive Modeling, Random Forest Algorithm, Pandas (Python Package), Data Analysis

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Advanced ML Algorithms & Unsupervised Learning: Packt
  • Clustering and Classification with Machine Learning in R: Packt
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Random Models, Nested and Split-plot Designs: Arizona State University
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University
  • Build Robust Java ML Models with Entropy: Coursera
  • ML: Build, Train, Justify Models: Coursera
  • Automate Financial Analysis with AI Pipelines: Coursera
  • Build Decision Trees, SVMs, and Artificial Neural Networks: CertNexus
  • AI for Medical Prognosis : DeepLearning.AI

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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