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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

    Intermediate Data Manipulation and Machine Learning

    Skills you'll gain: Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Classification Algorithms, Reinforcement Learning, Machine Learning Methods, Model Training, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction, Statistical Analysis, Supervised Learning, Unsupervised Learning, Data Preprocessing, Data Mining, Predictive Modeling, Random Forest Algorithm, Logistic Regression, Model Optimization, Data Manipulation

    Intermediate · Course · 3 - 6 Months

  • Status: Preview
    Preview
    H

    H2O.ai

    Practical Machine Learning on H2O

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Deep Learning, Machine Learning Methods, Autoencoders, Anomaly Detection, Machine Learning Algorithms, Applied Machine Learning, Model Training, Machine Learning, Machine Learning Software, Supervised Learning, Decision Tree Learning, Predictive Modeling, Data Validation, Classification Algorithms, Random Forest Algorithm, Data Import/Export, Model Optimization, Data Manipulation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    74 reviews

    Intermediate · Course · 1 - 3 Months

  • 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

  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Model Training, Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    19 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Analysis with Python Project

    Skills you'll gain: Classification Algorithms, Applied Machine Learning, Machine Learning Methods, Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Data Mining, Predictive Modeling, Model Evaluation, Regression Analysis, Decision Tree Learning, Statistical Methods, Project Planning, Logistic Regression

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Machine Learning Methods, Network Model, Electrophysiology, Applied Machine Learning, Supervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Reinforcement Learning, Sensory Systems Analysis, Matlab, Mathematical Modeling, Computer Vision, Neurology, Mathematical Software, Recurrent Neural Networks (RNNs), Physiology, Biology, Differential Equations, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Business Finance and Data Analysis Fundamentals

    Skills you'll gain: Capital Budgeting, Cash Flows, Probability & Statistics, Finance, Financial Statements, Microsoft Excel, Descriptive Statistics, Financial Accounting, Box Plots, Fiscal Management, Statistical Methods, Probability Distribution, Statistical Visualization, Data Visualization, Probability, Cash Flow Forecasting, Statistics, Excel Formulas, Financial Analysis, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Machine Learning Methods, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Machine Learning Software, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Data Analysis Software, Classification Algorithms, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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, Decision Support Systems, 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
    E

    EDUCBA

    AI & Predictive Analytics with Python

    Skills you'll gain: Unsupervised Learning, Predictive Modeling, Supervised Learning, Model Evaluation, Applied Machine Learning, Predictive Analytics, Random Forest Algorithm, Text Mining, Classification Algorithms, Machine Learning Methods, Natural Language Processing, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Computational Logic, Python Programming, Image Analysis, Data Science, Data Processing, Unstructured Data

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    Eindhoven University of Technology

    Improving your statistical inferences

    Skills you'll gain: Statistical Inference, Scientific Methods, Statistical Hypothesis Testing, Quantitative Research, Bayesian Statistics, Statistical Software, Statistical Analysis, Statistical Methods, Probability & Statistics, Sample Size Determination, Research, Data Literacy, General Science and Research, Data Sharing, Probability Distribution

    4.9
    Rating, 4.9 out of 5 stars
    ·
    801 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    Supervised Learning Regression Classification Clustering

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm

    Beginner · Course · 1 - 4 Weeks

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

  • Intermediate Data Manipulation and Machine Learning: Packt
  • Practical Machine Learning on H2O: H2O.ai
  • Advanced ML Algorithms & Unsupervised Learning: Packt
  • Scikit-Learn For Machine Learning Classification Problems: Coursera
  • Data Analysis with Python Project : University of Colorado Boulder
  • Computational Neuroscience: University of Washington
  • Business Finance and Data Analysis Fundamentals: Rice University
  • Introduction to Machine Learning in Sports Analytics: University of Michigan
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • AI & Predictive Analytics with Python: EDUCBA

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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