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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


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    Northeastern University

    Engineering Probability and Statistics Part 2

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Statistical Reporting, Statistical Methods, Probability & Statistics, Statistical Analysis, Experimentation, Data Analysis, Data Presentation, Estimation

    Mixed · Course · 1 - 3 Months

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    Pearson

    Programming Generative AI: Unit 2

    Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Natural Language Processing, Text Mining, Deep Learning, Artificial Neural Networks, Unsupervised Learning, Probability Distribution

    Intermediate · Course · 1 - 4 Weeks

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    Pearson

    Data Science Fundamentals Part 2: Unit 2

    Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics

    Beginner · Course · 1 - 4 Weeks

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    Johns Hopkins University

    Honors Algebra 2: Series, Trigonometry, and Probability

    Skills you'll gain: Trigonometry, Probability, Data Analysis, Algebra, Probability Distribution, Descriptive Statistics, Mathematical Modeling, Graphing, Statistics, Geometry, Arithmetic

    Beginner · Course · 1 - 4 Weeks

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    Pearson

    Data Science Fundamentals Part 2: Unit 3

    Skills you'll gain: Predictive Modeling, Statistical Modeling, Predictive Analytics, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Supervised Learning, Machine Learning, Performance Metric

    Beginner · Course · 1 - 4 Weeks

  • U

    Universidad de los Andes

    Analítica de datos: visualización, predicción y toma de decisiones Certificado MasterTrack®

    Skills you'll gain: Social Network Analysis, Network Analysis, Data Storytelling, Data Visualization, Data Presentation, Portfolio Management, Marketing Analytics, Financial Data, Product Marketing, Statistical Machine Learning, Marketing Management, Dashboard, Data Cleansing, Matplotlib, Time Series Analysis and Forecasting, Machine Learning, Random Forest Algorithm, Operations Research, Natural Language Processing, Mathematical Modeling

    Credit offered

    Mastertrack · 6 - 12 Months

  • U

    Universidad de los Andes

    Maestría en Inteligencia Analítica de Datos

    Skills you'll gain: Social Network Analysis, Systems Thinking, Unsupervised Learning, Data Storytelling, Deep Learning, Risk Analysis, Computer Vision, Reinforcement Learning, Time Series Analysis and Forecasting, Project Management Life Cycle, Portfolio Management, Marketing Analytics, MLOps (Machine Learning Operations), Statistical Machine Learning, Data Cleansing, Exploratory Data Analysis, Dashboard, Simulations, Presentations, Random Forest Algorithm

    Earn a degree

    Degree · 1 - 4 Years

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    University of London

    Master of Science in Cyber Security

    Skills you'll gain: Key Management, Security Management, Human Factors (Security), Application Security, Information Privacy, Cyber Governance, Infrastructure Security, Cryptography, Threat Modeling, Business Continuity Planning, OSI Models, Computer Security Incident Management, Cyber Security Policies, Intrusion Detection and Prevention, Cyber Security Strategy, ISO/IEC 27001, Network Security, Malware Protection, Data Collection, Data Analysis

    Earn a degree

    Degree · 1 - 4 Years

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    Coursera

    Decision Tree Classifier for Beginners in R

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Predictive Modeling, Data Processing, Statistical Modeling, R Programming, Supervised Learning, Machine Learning Algorithms, Machine Learning

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    6 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    EDUCBA

    Master Decision Trees in R: Build, Predict & Evaluate

    Skills you'll gain: Supervised Learning, Data-Driven Decision-Making

    Mixed · Course · 1 - 4 Weeks

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    Vanderbilt University

    From Data to Decisions: Finding Patterns with AI

    Skills you'll gain: Statistical Methods, Statistical Analysis, Data Visualization, Generative AI, Statistical Hypothesis Testing, Data Presentation, Data Storytelling, Box Plots, Data Analysis, Scatter Plots, Data-Driven Decision-Making, Exploratory Data Analysis, Statistics, Technical Communication, Statistical Inference

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    Rating, 4.8 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Diabetes Disease Detection with XG-Boost and Neural Networks

    Skills you'll gain: Artificial Neural Networks, Data Visualization, Exploratory Data Analysis, Data Presentation, Applied Machine Learning, Machine Learning Methods, Predictive Modeling, Deep Learning, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Machine Learning, Statistical Analysis, Feature Engineering, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
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    Beginner · Guided Project · Less Than 2 Hours

Searches related to random forest

neural networks and random forests
r: design & evaluate random forests for attrition
python: implement & evaluate random forests for ml
machine learning: random forest with python from scratch©
1…303132…36

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

  • Engineering Probability and Statistics Part 2: Northeastern University
  • Programming Generative AI: Unit 2: Pearson
  • Data Science Fundamentals Part 2: Unit 2: Pearson
  • Honors Algebra 2: Series, Trigonometry, and Probability: Johns Hopkins University
  • Data Science Fundamentals Part 2: Unit 3: Pearson
  • Analítica de datos: visualización, predicción y toma de decisiones Certificado MasterTrack®: Universidad de los Andes
  • Maestría en Inteligencia Analítica de Datos: Universidad de los Andes
  • Master of Science in Cyber Security: University of London
  • Decision Tree Classifier for Beginners in R: Coursera
  • Master Decision Trees in R: Build, Predict & Evaluate: 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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