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  • Random Forest Model

Results for "random forest model"


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    Dartmouth College

    Foundations for Machine Learning

    Skills you'll gain: Probability & Statistics, Statistical Methods

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    Machine Learning with R: Build, Analyze & Predict

    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

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    EDUCBA

    Predictive Modeling with Python: Apply & Evaluate

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Risk Modeling, Statistical Modeling, Feature Engineering, Regression Analysis, Correlation Analysis, Data Processing, Supervised Learning, Scikit Learn (Machine Learning Library), Machine Learning Methods, Data Cleansing, Data Transformation, Statistical Analysis, Pandas (Python Package), NumPy

    Mixed · Course · 1 - 3 Months

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    EDUCBA

    Machine Learning with Python: Diabetes Prediction

    Skills you'll gain: Jupyter, Data Transformation, Health Informatics, Applied Machine Learning, Machine Learning, Data Processing, Predictive Modeling, Scikit Learn (Machine Learning Library), NumPy, Predictive Analytics, Analytics, Supervised Learning, Pandas (Python Package), Software Installation

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Unstructured Data, Natural Language Processing, Algorithms, Computational Thinking, Test Data

    4.6
    Rating, 4.6 out of 5 stars
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    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
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    Google

    The Nuts and Bolts of Machine Learning

    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
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    576 reviews

    Advanced · Course · 1 - 3 Months

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  • Status: New
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    EDUCBA

    Machine Learning with Python: Build & Optimize

    Skills you'll gain: Matplotlib, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Data Processing, Pandas (Python Package), NumPy, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Machine Learning, Data Manipulation, Data Science, Dimensionality Reduction, Statistical Modeling, Feature Engineering, Unsupervised Learning, Performance Tuning

    Mixed · Course · 1 - 4 Weeks

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    Vanderbilt University

    Model Context Protocol for Leaders: Generative AI Agents

    Skills you'll gain: Generative AI Agents, Email Automation, Business Process Automation, Generative AI, AI Product Strategy, Agentic systems, Tool Calling, Anthropic Claude, ChatGPT, Automation, Leadership, Responsible AI, Marketing Automation, Business Solutions, Solution Design, Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Prompt Engineering, Technology Strategies, IT Automation

    4.2
    Rating, 4.2 out of 5 stars
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    17 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Machine Learning: Random Forest with Python from Scratch©

    Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Predictive Analytics, Machine Learning Algorithms, Data Visualization, Machine Learning, Programming Principles, Data Manipulation, Feature Engineering, Data Cleansing, Supervised Learning, Python Programming, Data Science, Data Processing, NumPy, Pandas (Python Package)

    Beginner · Course · 1 - 3 Months

  • Status: New
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    EDUCBA

    R: Design & Evaluate Random Forests for Attrition

    Skills you'll gain: People Analytics, Data Validation, Data Processing, Workforce Management, Advanced Analytics

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    LearnQuest

    Neural Networks and Random Forests

    Skills you'll gain: Random Forest Algorithm, Keras (Neural Network Library), Classification And Regression Tree (CART), Tensorflow, Deep Learning, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning, Regression Analysis, Python Programming

    2.9
    Rating, 2.9 out of 5 stars
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    13 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Machine Learning Methods, Reinforcement Learning, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
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    3.8K reviews

    Intermediate · Course · 1 - 3 Months

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

  • Foundations for Machine Learning: Dartmouth College
  • Machine Learning with R: Build, Analyze & Predict: EDUCBA
  • Predictive Modeling with Python: Apply & Evaluate: EDUCBA
  • Machine Learning with Python: Diabetes Prediction: EDUCBA
  • Probabilistic Graphical Models: Stanford University
  • The Nuts and Bolts of Machine Learning: Google
  • Machine Learning with Python: Build & Optimize: EDUCBA
  • Model Context Protocol for Leaders: Generative AI Agents: Vanderbilt University
  • Machine Learning: Random Forest with Python from Scratch©: Packt
  • R: Design & Evaluate Random Forests for Attrition: EDUCBA

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