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  • Random Forest Algorithm

Results for "random forest algorithm"


  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Machine Learning Models in Science

    Skills you'll gain: Applied Machine Learning, Data Processing, Dimensionality Reduction, Data Cleansing, Machine Learning Algorithms, Data Transformation, Artificial Neural Networks, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Unsupervised Learning, Supervised Learning, Predictive Modeling, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    O

    O.P. Jindal Global University

    Unsupervised Learning and Its Applications in Marketing

    Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Customer Insights, Applied Machine Learning, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Marketing, Unstructured Data, Statistical Machine Learning, Target Audience, Python Programming, Market Analysis, Exploratory Data Analysis, Data-Driven Decision-Making, Algorithms, Artificial Neural Networks

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Support Vector Machines in Python, From Start to Finish

    Skills you'll gain: Scikit Learn (Machine Learning Library), Tensorflow, Cloud Computing, Classification And Regression Tree (CART), Supervised Learning, Applied Machine Learning, Machine Learning Methods, Python Programming, Pandas (Python Package), Data Science, Machine Learning, Data Visualization, Data Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    160 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    TensorFlow Prediction: Identify Penguin Species

    Skills you'll gain: Data Processing, Tensorflow, Applied Machine Learning, Feature Engineering, Data Cleansing, Classification And Regression Tree (CART), Data Manipulation, Machine Learning, Predictive Modeling, Random Forest Algorithm, Pandas (Python Package), Data Analysis, Exploratory Data Analysis

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Predictive Analytics for Business with H2O in R

    Skills you'll gain: R Programming, Predictive Analytics, Applied Machine Learning, Analytics, Data Science, Data Processing, Feature Engineering, Machine Learning, Telemarketing, Application Deployment

    4.9
    Rating, 4.9 out of 5 stars
    ·
    53 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    Machine Learning with PySpark: Recommender System

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

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 1

    Skills you'll gain: Feature Engineering, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Random Forest Algorithm, Responsible AI, Predictive Modeling, Data Import/Export, Machine Learning, Predictive Analytics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    63 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Classification Trees in Python, From Start To Finish

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Data Transformation, Supervised Learning, Predictive Modeling, Feature Engineering, Scikit Learn (Machine Learning Library), Data Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    232 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Build Regression, Classification, and Clustering Models

    Skills you'll gain: Applied Machine Learning, Unsupervised Learning, Regression Analysis, Machine Learning Algorithms, Linear Algebra, Machine Learning, Predictive Modeling, Statistical Modeling, Supervised Learning, Feature Engineering, Classification And Regression Tree (CART), Performance Tuning, Dimensionality Reduction, Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Sample-based Learning Methods

    Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Predictive Modeling, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Facebook Insights: Crack the Algorithm

    Skills you'll gain: Content Performance Analysis, Facebook, Social Media Content, Analysis, Social Media, Drive Engagement, Social Media Strategy, Content Creation

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    Y

    Yale University

    Tropical Forest Landscapes 101: Conservation & Restoration

    Skills you'll gain: Land Management, Environmental Science, Sustainable Development, Environment, Natural Resource Management, Environmental Engineering and Restoration, Environment and Resource Management, Climate Change Mitigation, Socioeconomics, Finance

    4.9
    Rating, 4.9 out of 5 stars
    ·
    172 reviews

    Beginner · Course · 1 - 3 Months

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

  • Machine Learning Models in Science: LearnQuest
  • Unsupervised Learning and Its Applications in Marketing: O.P. Jindal Global University
  • Support Vector Machines in Python, From Start to Finish: Coursera
  • TensorFlow Prediction: Identify Penguin Species: Coursera
  • Predictive Analytics for Business with H2O in R: Coursera
  • Machine Learning with PySpark: Recommender System: Coursera
  • Interpretable Machine Learning Applications: Part 1: Coursera
  • Classification Trees in Python, From Start To Finish: Coursera
  • Build Regression, Classification, and Clustering Models: CertNexus
  • Sample-based Learning Methods: University of Alberta

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