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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


  • E

    EDUCBA

    Machine Learning with R: Build, Analyze & Predict

    Skills you'll gain: Data Analysis, Machine Learning Algorithms, Statistical Analysis, Probability & Statistics, Probability Distribution, R Programming, Machine Learning Methods, Statistical Methods, R (Software), Applied Machine Learning, Statistical Machine Learning, Statistics, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Statistical Programming, Correlation Analysis, Data Manipulation, Supervised Learning

    ★ 4.6 (16) · Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • J

    Johns Hopkins University

    Random Processes

    Skills you'll gain: Probability & Statistics, Probability, Probability Distribution, Simulations, Statistical Modeling, Statistical Methods, Estimation, Correlation Analysis, Engineering Analysis, Statistical Analysis, Reliability, Engineering, Spatial Analysis

    Mixed · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • 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

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Build Predictive & Supervised Models

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Model Training, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Performance Metric, Machine Learning Algorithms, Regression Analysis, Continuous Monitoring, Statistical Methods

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • L

    LearnQuest

    AI for Scientific Research

    Skills you'll gain: Data Preprocessing, Feature Engineering, Model Evaluation, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Data Processing, Dimensionality Reduction, Data Cleansing, Model Optimization, Keras (Neural Network Library), Machine Learning Algorithms, Data Transformation, Model Training, Machine Learning, Data Science

    ★ 3.3 (102) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • E

    Edureka

    Applied Machine Learning Without Coding

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Data Science, Statistical Modeling, Predictive Modeling, Machine Learning Methods, Exploratory Data Analysis, Machine Learning, Data Analysis, Applied Machine Learning, Machine Learning Software, Feature Engineering, Random Forest Algorithm, Supervised Learning, Logistic Regression, Data Processing, Model Optimization, Data Manipulation, Data Visualization

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Ensure Ethical AI & Debiasing

    Skills you'll gain: Data Ethics, Responsible AI, Ethical Standards And Conduct, Technical Communication, Stakeholder Communications, Model Evaluation, Data Preprocessing, People Analytics, Sampling (Statistics), Statistical Analysis, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Amsterdam

    Methods and Statistics in Social Sciences

    Skills you'll gain: Qualitative Research, Scientific Methods, Statistical Analysis, Statistical Hypothesis Testing, Research, Science and Research, Research Design, Sampling (Statistics), Research Reports, Interviewing Skills, Data Analysis, Data Collection, Research Methodologies, Probability & Statistics, Social Sciences, Statistical Methods, Regression Analysis, Statistical Inference, Statistics, R Programming

    ★ 4.6 (7.9K) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Statistical Inference & Predictive Modeling Foundations

    Skills you'll gain: Descriptive Statistics, A/B Testing, Classification And Regression Tree (CART), Dashboard, Dashboard Creation, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Risk Analysis, Histogram, Statistical Inference, Descriptive Analytics, Simulations, Predictive Modeling, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Making, Decision Tree Learning, Keras (Neural Network Library)

    Intermediate · Specialization · 3 - 6 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Linear Algebra, Statistical Inference, Model Optimization, Machine Learning Methods, Statistics, Applied Mathematics, Probability, Calculus, Dimensionality Reduction, Applied Machine Learning, Mathematical Software, Data Transformation, Machine Learning

    ★ 4.6 (3.2K) · Intermediate · Specialization · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Satellite Imagery, Remote Sensing & Machine Learning

    Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Random Forest Algorithm, Model Evaluation, Feature Engineering, Model Training, Matplotlib, Convolutional Neural Networks, Image Analysis, Applied Machine Learning, Plot (Graphics), Supervised Learning, Environmental Monitoring, Geospatial Information and Technology, Scientific Visualization, Predictive Modeling, Deep Learning, Geospatial Mapping, Machine Learning

    Intermediate · Specialization · 3 - 6 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Conjoint to Cluster: Survey Design and Segmentation

    Skills you'll gain: Data Ethics, Business Research, Surveys, Survey Creation, Qualitative Research, Data Quality, Persona Development, Sample Size Determination, Data Governance, File Management, Sampling (Statistics), Market Research, Marketing Analytics, Return On Investment, Focus Group, Quantitative Research, General Data Protection Regulation (GDPR), Key Performance Indicators (KPIs), Research Design, Research Methodologies

    Beginner · Specialization · 3 - 6 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1234…43

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

  • Machine Learning with R: Build, Analyze & Predict: EDUCBA
  • Random Processes: Johns Hopkins University
  • Grow Trees & Powerful Ensembles: Coursera
  • Build Predictive & Supervised Models: Coursera
  • AI for Scientific Research: LearnQuest
  • Applied Machine Learning Without Coding: Edureka
  • Ensure Ethical AI & Debiasing: Coursera
  • Methods and Statistics in Social Sciences: University of Amsterdam
  • Statistical Inference & Predictive Modeling Foundations: Coursera
  • Mathematics for Machine Learning and Data Science: 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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