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    Results for "random forests"

    • P

      Peking University

      医学统计学与SPSS软件(基础篇)

      Skills you'll gain: Statistical Hypothesis Testing, SPSS, Statistical Analysis, Statistical Methods, Sampling (Statistics), Descriptive Statistics, Correlation Analysis, Regression Analysis, Probability & Statistics, Statistical Inference, Data Analysis Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      154 reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Build and deploy a stroke prediction model using R

      Skills you'll gain: Feature Engineering, Predictive Modeling, Predictive Analytics, R Programming, Data Analysis, Statistical Modeling, Statistical Analysis, Data Cleansing, Exploratory Data Analysis, Applied Machine Learning, Data Manipulation, Application Deployment, Data Transformation, Machine Learning Methods, Interactive Data Visualization, Machine Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      18 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistical Inference for Estimation in Data Science

      Skills you'll gain: Statistical Inference, Statistical Methods, Probability & Statistics, Statistical Modeling, Sampling (Statistics), Statistical Analysis, Data Science, Probability Distribution

      4.1
      Rating, 4.1 out of 5 stars
      ·
      88 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Fundamentals of Macroscopic and Microscopic Thermodynamics

      Skills you'll gain: Mechanical Engineering, Statistical Methods, Physics, Probability Distribution, Physical Science, Chemistry, Engineering Calculations, Calculus

      4.3
      Rating, 4.3 out of 5 stars
      ·
      262 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Evaluating Large-Scale Health Programs

      Skills you'll gain: Surveys, Program Evaluation, Survey Creation, Health Policy, Sampling (Statistics), Health Systems, Health Assessment, Systems Thinking, Health Equity, Data Collection, Quantitative Research, Training Programs, Maternal Health, Data Management, Statistical Analysis, Analysis, Nutrition and Diet, Public Health, Research Design, Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      65 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Enterprise Workflow

      Skills you'll gain: Feature Engineering, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Dashboard, Unit Testing, Artificial Neural Networks, Data Science, Machine Learning, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      326 reviews

      Advanced · Specialization · 3 - 6 Months

    • T

      The University of Chicago

      Machine Learning: Concepts and Applications

      Skills you'll gain: Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Statistical Methods, Tensorflow, Feature Engineering, Artificial Neural Networks, Pandas (Python Package)

      3.8
      Rating, 3.8 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      CertNexus

      Build Decision Trees, SVMs, and Artificial Neural Networks

      Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Statistical Machine Learning, Supervised Learning, Computer Vision, Regression Analysis, Natural Language Processing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Diabetes Disease Detection with XG-Boost and Neural Networks

      Skills you'll gain: Artificial Neural Networks, Exploratory Data Analysis, Applied Machine Learning, Predictive Modeling, Deep Learning, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Machine Learning, Statistical Analysis, Feature Engineering, Python Programming

      4.9
      Rating, 4.9 out of 5 stars
      ·
      10 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      C

      Columbia University

      Computational Methods in Pricing and Model Calibration

      Skills you'll gain: Regression Analysis, Derivatives, Financial Market, Statistical Methods, Financial Modeling, Securities (Finance), Mathematical Modeling, Numerical Analysis, Equities, Financial Data, Python Programming, Probability Distribution, Algorithms

      4.4
      Rating, 4.4 out of 5 stars
      ·
      41 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Predictive Modeling and Machine Learning with MATLAB

      Skills you'll gain: Supervised Learning, Applied Machine Learning, Matlab, Regression Analysis, Predictive Modeling, Classification And Regression Tree (CART), Machine Learning, Feature Engineering, Predictive Analytics, Statistical Modeling, Data Processing, Sampling (Statistics)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      118 reviews

      Beginner · Course · 1 - 4 Weeks

    • 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

    Searches related to random forests

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

    • 医学统计学与SPSS软件(基础篇): Peking University
    • Build and deploy a stroke prediction model using R: Coursera Project Network
    • Statistical Inference for Estimation in Data Science: University of Colorado Boulder
    • Fundamentals of Macroscopic and Microscopic Thermodynamics: University of Colorado Boulder
    • Evaluating Large-Scale Health Programs: Johns Hopkins University
    • IBM AI Enterprise Workflow: IBM
    • Machine Learning: Concepts and Applications: The University of Chicago
    • Build Decision Trees, SVMs, and Artificial Neural Networks: CertNexus
    • Diabetes Disease Detection with XG-Boost and Neural Networks: Coursera Project Network
    • Computational Methods in Pricing and Model Calibration: Columbia University

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