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  • Random Forest Algorithm

Results for "random forest algorithm"


  • Status: Preview
    Preview
    L

    Ludwig-Maximilians-Universität München (LMU)

    Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python

    Skills you'll gain: Finite Element Methods, Numerical Analysis, Engineering Analysis, Jupyter, Differential Equations, Applied Mathematics, Mathematical Modeling, Python Programming, Mechanics, Vibrations, Linear Algebra, Simulations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    388 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    TensorFlow: Data and Deployment

    Skills you'll gain: Extract, Transform, Load, Data Pipelines, Image Analysis, Data Import/Export, Tensorflow, iOS Development, Application Deployment, Android Development, Data Processing, Computer Vision, MLOps (Machine Learning Operations), Swift Programming, Keras (Neural Network Library), Feature Engineering, Mobile Development, Data Integration, Data Transformation, Deep Learning, Javascript, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.5K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    N

    New York University

    Machine Learning and Reinforcement Learning in Finance

    Skills you'll gain: Supervised Learning, Reinforcement Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Market Dynamics, Risk Modeling, Tensorflow, Financial Modeling

    3.7
    Rating, 3.7 out of 5 stars
    ·
    819 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Managing Machine Learning Projects

    Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Data Quality, Technical Management, Applied Machine Learning, Project Management, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Software Development Life Cycle, Machine Learning, Data Cleansing, Data Pipelines, Technical Design, Technology Solutions, Systems Design, Data Collection, Data Science, Systems Architecture, Feature Engineering, System Monitoring

    4.8
    Rating, 4.8 out of 5 stars
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    310 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    P

    Peking University

    离散数学概论 Discrete Mathematics Generality

    Skills you'll gain: Computational Logic, Theoretical Computer Science, Graph Theory, Geospatial Information and Technology, Logical Reasoning, Spatial Analysis, Computational Thinking, Algebra, Computer Science, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    281 reviews

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Hands-on Internet of Things

    Skills you'll gain: Internet Of Things, Network Infrastructure, Network Routers, General Networking, Embedded Software, Network Switches, Network Protocols, Network Architecture, Wireless Networks, Local Area Networks, Infrastructure Security, Wide Area Networks, Virtual Local Area Network (VLAN), Data Science, Telecommunications, Embedded Systems, Communication Systems, Distributed Computing, Python Programming, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    612 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Exploring and Producing Data for Business Decision Making

    Skills you'll gain: Statistical Inference, Business Analytics, Descriptive Statistics, Sampling (Statistics), Statistics, Data-Driven Decision-Making, Data Analysis, Data Presentation, Statistical Analysis, Microsoft Excel, Exploratory Data Analysis, Decision Making, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Feature Engineering

    Skills you'll gain: Feature Engineering, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Data Modeling, Real Time Data, Machine Learning, Data Storage

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Analytics for Decision Making

    Skills you'll gain: Time Series Analysis and Forecasting, Simulations, Operations Research, Probability Distribution, Mathematical Modeling, Supply Chain, Probability, Predictive Modeling, Business Modeling, Business Analytics, Workforce Management, Analytics, Regression Analysis, Microsoft Excel, Forecasting, Business Mathematics, Process Optimization, Data-Driven Decision-Making, Statistics, Predictive Analytics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    285 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Computational Social Science

    Skills you'll gain: Social Network Analysis, Network Analysis, Data Wrangling, Natural Language Processing, Web Scraping, Social Sciences, Data Ethics, Databases, Artificial Intelligence, Research, Simulations, Big Data, Systems Thinking, Trend Analysis, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Research Methodologies, Machine Learning, Data Collection, Agentic systems

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Program Development, Data Validation, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Data Processing, Predictive Modeling, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Unsupervised Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    718 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Statistical Methods for Computer Science

    Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, R (Software), Probability, Statistics, Probability & Statistics, Statistical Methods, Bayesian Statistics, Social Network Analysis, Probability Distribution, Applied Mathematics, Simulations, Data Science

    Intermediate · Specialization · 3 - 6 Months

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

  • Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python: Ludwig-Maximilians-Universität München (LMU)
  • TensorFlow: Data and Deployment: DeepLearning.AI
  • Machine Learning and Reinforcement Learning in Finance: New York University
  • Managing Machine Learning Projects: Duke University
  • 离散数学概论 Discrete Mathematics Generality: Peking University
  • Hands-on Internet of Things: University of Illinois Urbana-Champaign
  • Exploring and Producing Data for Business Decision Making: University of Illinois Urbana-Champaign
  • Feature Engineering: Google Cloud
  • Analytics for Decision Making: University of Minnesota
  • Computational Social Science: University of California, Davis

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