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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
    E

    EDUCBA

    Python: Logistic Regression & Supervised ML

    Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Model Deployment, Decision Tree Learning, Logistic Regression, Data Analysis, Data Preprocessing, Pandas (Python Package), NumPy

    4.4
    Rating, 4.4 out of 5 stars
    ·
    17 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Linear Regression & Supervised Learning in Python

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Model Training, Predictive Modeling, Supervised Learning, Statistical Modeling, Data Analysis, Correlation Analysis, Predictive Analytics, Applied Machine Learning, Machine Learning Methods, Statistical Analysis, Data Preprocessing, Verification And Validation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Design Thinking and Predictive Analytics for Data Products

    Skills you'll gain: Supervised Learning, Feature Engineering, Predictive Modeling, Predictive Analytics, Data Manipulation, Statistical Machine Learning, Classification Algorithms, Machine Learning Methods, Statistical Modeling, Design Thinking, Scikit Learn (Machine Learning Library), Data Cleansing, Model Training, Regression Analysis, Data Processing, Model Optimization, Tensorflow, Logistic Regression

    4.5
    Rating, 4.5 out of 5 stars
    ·
    117 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Machine Learning Projects in R with Caret

    Skills you'll gain: Data Preprocessing, Applied Machine Learning, Unsupervised Learning, Machine Learning Methods, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Machine Learning Software, Machine Learning, Data Validation, Data Wrangling, Machine Learning Algorithms, Data Integrity, Data Import/Export

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    AWS AutoGluon for Machine Learning Classification

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Model Optimization, Classification Algorithms, Amazon Web Services, Model Training, Machine Learning Methods, Machine Learning Software, Predictive Modeling, Machine Learning, Python Programming

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Machine Learning Foundations for Product Managers

    Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Machine Learning Methods, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Neural Networks, Decision Tree Learning, Model Training, Computer Vision, Logistic Regression, Supervised Learning, Machine Learning Algorithms, Natural Language Processing, Predictive Modeling, Data Science, Predictive Analytics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    829 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Machine Learning, Big Data, and Deep Learning

    Skills you'll gain: Apache Spark, Model Evaluation, Data Preprocessing, Keras (Neural Network Library), Transfer Learning, Deep Learning, Model Training, Tensorflow, A/B Testing, Responsible AI, Data Processing, Convolutional Neural Networks, Machine Learning Software, Artificial Neural Networks, Machine Learning Algorithms, Data Cleansing, Model Deployment, Machine Learning, Recurrent Neural Networks (RNNs), Dimensionality Reduction

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Analyze & Build a Churn Prediction Model in R

    Skills you'll gain: Model Evaluation, Data Preprocessing, Predictive Modeling, Exploratory Data Analysis, R Programming, Customer Analysis, Predictive Analytics, Model Training, Data Science, Data Analysis, Data-Driven Decision-Making, R (Software), Data Cleansing, Applied Machine Learning, Logistic Regression, Machine Learning Methods, Data Transformation, Business Analytics, Decision Tree Learning, Customer Retention

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning with PySpark: Recommender System

    Skills you'll gain: PySpark, Apache Spark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI API, Data Manipulation, Pandas (Python Package), Data Transformation, Unsupervised Learning, Applied Machine Learning, Embeddings, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning: Recurrent Neural Networks with Python

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Model Optimization, Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Model Training, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Large Language Modeling, Text Mining, Artificial Neural Networks, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Time Series Analysis and Forecasting, Network Architecture

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Statistical Modeling, Model Optimization, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Statistical Programming, Model Training, Statistical Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning

    Intermediate · Course · 1 - 3 Months

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

    Coursera

    Optimize with GA & RL

    Skills you'll gain: Reinforcement Learning, Inventory Control, Inventory Management System, Supply Chain, Operations Research, Supply Chain Management, Process Optimization, Model Optimization, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Fine-tuning, Performance Tuning, Decision Making, Simulations, Algorithms

    Intermediate · Course · 1 - 4 Weeks

1…43444546

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

  • Python: Logistic Regression & Supervised ML: EDUCBA
  • Linear Regression & Supervised Learning in Python: EDUCBA
  • Design Thinking and Predictive Analytics for Data Products: University of California San Diego
  • Machine Learning Projects in R with Caret: EDUCBA
  • AWS AutoGluon for Machine Learning Classification: Coursera
  • Machine Learning Foundations for Product Managers: Duke University
  • Advanced Machine Learning, Big Data, and Deep Learning: Packt
  • Analyze & Build a Churn Prediction Model in R: EDUCBA
  • Machine Learning with PySpark: Recommender System: Coursera
  • Deep Learning: Recurrent Neural Networks with Python: Packt

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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