Random Forest Algorithm

The Random Forest Algorithm is a powerful ensemble learning method that operates by constructing a multitude of decision trees at training time and outputting the class that is the mode of the classes of the individual trees. Coursera's Random Forest Algorithm catalogue teaches you the ins and outs of this versatile algorithm used in machine learning and data mining. You'll learn how to implement this algorithm for both classification and regression tasks, understand feature importance, deal with missing values, and tune hyperparameters for optimal performance. By mastering this skill, you'll be able to work efficiently with large datasets and solve complex predictive problems in various fields such as healthcare, banking, and e-commerce.
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Results for "random forest algorithm"

  • Status: Free Trial

    Multiple educators

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Responsible AI, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    37K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    Status: Preview

    EDUCBA

    Skills you'll gain: Supervised Learning, Random Forest Algorithm, Applied Machine Learning, Data Processing, Classification And Regression Tree (CART), Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Predictive Modeling, Performance Testing, Data Analysis, Scikit Learn (Machine Learning Library), Python Programming

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    Status: Free Trial

    EDUCBA

    Skills you'll gain: Unsupervised Learning, Seaborn, Matplotlib, Predictive Modeling, Supervised Learning, NumPy, Applied Machine Learning, Predictive Analytics, Dimensionality Reduction, Random Forest Algorithm, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Scatter Plots, Tensorflow, Statistical Visualization, Python Programming, Data Science, Machine Learning, Data Analysis

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    Status: Free Trial

    Whizlabs

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Feature Engineering, AI Personalization, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Amazon Elastic Compute Cloud, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    Status: Free Trial

    EDUCBA

    Skills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Statistical Methods, Applied Machine Learning, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Predictive Modeling, Decision Tree Learning

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    Status: Free Trial

    EDUCBA

    Skills you'll gain: PySpark, Apache Spark, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Statistical Machine Learning, Unsupervised Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Data Pipelines

    Mixed · Course · 1 - 4 Weeks

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  • Status: Free Trial

    Packt

    Skills you'll gain: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    Status: Free Trial

    EDUCBA

    Skills you'll gain: Unsupervised Learning, Predictive Modeling, Supervised Learning, Applied Machine Learning, Predictive Analytics, Random Forest Algorithm, Text Mining, Natural Language Processing, Machine Learning Algorithms, Artificial Intelligence, Computational Logic, Python Programming, Scikit Learn (Machine Learning Library), Data Science, Data Processing, Unstructured Data, Algorithms

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial

    Google

    Skills you'll gain: Feature Engineering, Applied Machine Learning, Advanced Analytics, Machine Learning, Unsupervised Learning, Workflow Management, Data Ethics, Supervised Learning, Data Validation, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Python Programming, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    568 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial

    Packt

    Skills you'll gain: Data Structures, Algorithms, Graph Theory, Programming Principles, Theoretical Computer Science, Computer Science, Computer Programming, Python Programming, Pandas (Python Package), Machine Learning Algorithms, Computational Thinking, C++ (Programming Language), Data Architecture, Random Forest Algorithm, Performance Tuning, Object Oriented Programming (OOP), Network Analysis, Program Development, Problem Solving, Debugging

    4.5
    Rating, 4.5 out of 5 stars
    33 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    Status: Preview

    EDUCBA

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Risk Modeling, Classification And Regression Tree (CART), Decision Tree Learning, Credit Risk, Predictive Analytics, Random Forest Algorithm, Data Processing, Feature Engineering, Financial Modeling, Data Manipulation, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Pandas (Python Package), Machine Learning Methods, Supervised Learning, Performance Metric, Performance Tuning

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Dimensionality Reduction, Applied Machine Learning, Decision Tree Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Python Programming, Classification And Regression Tree (CART), Data Science, Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling

    Build toward a degree

    3.5
    Rating, 3.5 out of 5 stars
    123 reviews

    Intermediate · Specialization · 3 - 6 Months

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