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    Results for "random forests"

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics: From Concept to Data Analysis

      Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Probability, Statistics, Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Regression Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      Six Sigma Advanced Define and Measure Phases

      Skills you'll gain: Process Capability, Process Mapping, Six Sigma Methodology, Probability Distribution, Process Analysis, Exploratory Data Analysis, Probability & Statistics, Process Improvement and Optimization, Quality Control, Data Collection, Statistical Analysis, Team Building, Quality Improvement, Regression Analysis, Statistical Inference

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

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      University at Buffalo

      Computer Vision Basics

      Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, Color Theory, Computer Science, Matlab, Artificial Intelligence, Computer Programming, Artificial Neural Networks, Calculus, Probability & Statistics

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Machine Learning With Big Data

      Skills you'll gain: Exploratory Data Analysis, Big Data, Apache Spark, Box Plots, Applied Machine Learning, Regression Analysis, Scatter Plots, Data Processing, Data Transformation, Supervised Learning, Machine Learning, Unsupervised Learning, Data Cleansing, Predictive Modeling, Data Quality

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.5K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Supervised Machine Learning: Regression

      Skills you'll gain: Supervised Learning, Regression Analysis, Predictive Modeling, Statistical Modeling, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Scatter Plots, Data Processing, Pandas (Python Package)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      758 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Introduction to Probability and Data with R

      Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R Programming, Bayesian Statistics, Data Analysis, Probability Distribution, Probability, Statistical Analysis, Quantitative Research, Statistics, Statistical Inference, Descriptive Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.8K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

      Skills you'll gain: Business Analytics, Statistics, Probability Distribution, Descriptive Statistics, Statistical Methods, Data Literacy, Probability & Statistics, Histogram, Sampling (Statistics), Statistical Analysis, Correlation Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.6K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Machine Learning, Visual Recognition and NLP

      Skills you'll gain: Supervised Learning, Applied Machine Learning, Natural Language Processing, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification And Regression Tree (CART), MLOps (Machine Learning Operations), Image Analysis, Machine Learning, Random Forest Algorithm, Computer Vision, Artificial Neural Networks, Performance Metric, Business Metrics, Data Science, Text Mining, Python Programming, Regression Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      86 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      G

      Georgia Institute of Technology

      Fundamentals of Engineering Exam Review

      Skills you'll gain: Structural Analysis, Probability & Statistics, Hydraulics, Engineering Analysis, Probability, Engineering, Mechanical Engineering, Engineering Calculations, Probability Distribution, Mechanics, Civil Engineering, Advanced Mathematics, Water Resources, Calculus, Differential Equations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      613 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Geneva

      Portfolio and Risk Management

      Skills you'll gain: Portfolio Management, Risk Management, Investments, Asset Management, Risk Analysis, Finance, Financial Market, Equities, Derivatives, Target Audience, Probability Distribution, Estimation, Variance Analysis, Correlation Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Detecting COVID-19 with Chest X-Ray using PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision, Python Programming, Medical Imaging, Radiography, Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      339 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Understanding and Visualizing Data with Python

      Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Data Visualization, Data Analysis, Exploratory Data Analysis, Histogram, Probability & Statistics, Data Visualization Software, Statistics, Statistical Analysis, Box Plots, Jupyter, Statistical Inference, Pandas (Python Package), Data Import/Export, Data Management, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to random forests

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

    • Bayesian Statistics: From Concept to Data Analysis: University of California, Santa Cruz
    • Six Sigma Advanced Define and Measure Phases: Kennesaw State University
    • Computer Vision Basics: University at Buffalo
    • Machine Learning With Big Data: University of California San Diego
    • Supervised Machine Learning: Regression: IBM
    • Introduction to Probability and Data with R: Duke University
    • Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions: Rice University
    • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
    • Fundamentals of Engineering Exam Review: Georgia Institute of Technology
    • Portfolio and Risk Management: University of Geneva

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