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    Results for "random forests"

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Trees, SVM and Unsupervised Learning

      Skills you'll gain: Applied Machine Learning, Supervised Learning, Data Science, Artificial Neural Networks, Dimensionality Reduction, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Machine Learning, Predictive Modeling, Random Forest Algorithm, Statistics

      4.4
      Rating, 4.4 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      E

      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: New
      New
      Status: Free Trial
      Free Trial
      E

      EDUCBA

      PySpark: Apply & Evaluate Predictive ML Models

      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

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      Python: Implement & Evaluate Random Forests for ML

      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
      New
      Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Foundations of Probability and Statistics

      Skills you'll gain: Probability, Statistical Inference, Markov Model, Estimation, Probability & Statistics, Probability Distribution, Statistical Methods, Statistics, Bayesian Statistics, Data Literacy, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Mathematical Modeling, Data Analysis, Statistical Modeling, Data Science, Machine Learning Algorithms, Generative AI Agents, Artificial Intelligence

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      309 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      Six Sigma Yellow Belt

      Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Lean Methodologies, Process Improvement, Data Collection, Quality Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Kaizen Methodology, Process Analysis, Probability Distribution, Regression Analysis, Process Capability, Business Process, Statistical Process Controls, Quality Management, Team Management, Project Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4K reviews

      Beginner · Specialization · 3 - 6 Months

    What brings you to Coursera today?

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      G

      Google

      Google Data Analytics

      Skills you'll gain: Data Storytelling, Rmarkdown, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Data Validation, Ggplot2, Tableau Software, Sampling (Statistics), Presentations, Spreadsheet Software, Data Analysis, Data Visualization Software, LinkedIn, Dashboard, Data Processing, Interviewing Skills, Professional Development

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      174K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Pittsburgh

      Mathematical Foundations for Data Science and Analytics

      Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning

      Build toward a degree

      Beginner · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Data Science Fundamentals, Part 2

      Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Statistical Modeling, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Predictive Analytics, Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming

      Beginner · Specialization · 1 - 4 Weeks

    • U

      Universidad de los Andes

      Maestría en Inteligencia Analítica de Datos

      Skills you'll gain: Social Network Analysis, Data Storytelling, Unsupervised Learning, Computer Vision, Deep Learning, Financial Statement Analysis, MLOps (Machine Learning Operations), Time Series Analysis and Forecasting, Predictive Modeling, Project Management Life Cycle, Reinforcement Learning, Systems Thinking, Marketing Analytics, Bayesian Network, Simulations, Descriptive Analytics, Stakeholder Engagement, Pandas (Python Package), Statistical Analysis, Random Forest Algorithm

      Earn a degree

      Degree · 1 - 4 Years

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Algorithms, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Artificial Neural Networks, Performance Testing, Linear Algebra, Performance Tuning, Pseudocode, Probability Distribution

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.6K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Introduction to Logic and Critical Thinking

      Skills you'll gain: Deductive Reasoning, Critical Thinking, Logical Reasoning, Computational Logic, Analysis, Probability, Sampling (Statistics), Persuasive Communication, Sample Size Determination, Writing, Case Studies, Mathematical Modeling, Scientific Methods, Oral Expression, Correlation Analysis, Communication, Interpersonal Communications, Business Communication, Interactive Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.6K reviews

      Beginner · Specialization · 3 - 6 Months

    Searches related to random forests

    neural networks and random forests
    r: design & evaluate random forests for attrition
    python: implement & evaluate random forests for ml
    1234…33

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

    • Trees, SVM and Unsupervised Learning: University of Colorado Boulder
    • R: Design & Evaluate Random Forests for Attrition: EDUCBA
    • PySpark: Apply & Evaluate Predictive ML Models: EDUCBA
    • Python: Implement & Evaluate Random Forests for ML: EDUCBA
    • Foundations of Probability and Statistics: University of Colorado Boulder
    • Six Sigma Yellow Belt: Kennesaw State University
    • Google Data Analytics: Google
    • Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
    • Data Science Fundamentals, Part 2: Pearson
    • Maestría en Inteligencia Analítica de Datos: Universidad de los Andes

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