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    Results for "random forests"

    • C

      Clemson University

      Design and Analysis of Algorithms

      Skills you'll gain: Graph Theory, Data Structures, Algorithms, Theoretical Computer Science, Computational Thinking, Applied Mathematics, Combinatorics, Performance Testing, Computer Science, Computer Programming, Design Strategies, Probability, Probability Distribution

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      30 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Fundamental Tools of Data Wrangling

      Skills you'll gain: Pandas (Python Package), Data Wrangling, NumPy, Data Visualization, Data Cleansing, Data Structures, Data Analysis, Data Manipulation, Data Transformation, Data Quality, Exploratory Data Analysis, Data Integration, Programming Principles, Python Programming, Scripting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 3 Months

    • P

      Packt

      Regression Analysis for Statistics & Machine Learning in R

      Skills you'll gain: Data Cleansing, R Programming, Applied Machine Learning, Statistical Analysis, Data Manipulation, Statistical Machine Learning, Classification And Regression Tree (CART), Tidyverse (R Package), Advanced Analytics, Statistical Modeling, Random Forest Algorithm, Data Transformation, Statistical Methods, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      The Total Data Quality Framework

      Skills you'll gain: Data Quality, Data Cleansing, Data Collection, Data Validation, Data Analysis, Data Processing, Threat Detection, Data Access, Sampling (Statistics)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      45 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      Supervised Learning Regression Classification Clustering

      Skills you'll gain: Supervised Learning, Data Modeling, Data Analysis, Regression Analysis, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Predictive Modeling, Predictive Analytics, Random Forest Algorithm, Bayesian Statistics

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistics and Data Analysis with Excel, Part 1

      Skills you'll gain: Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Probability, Box Plots, Histogram, Probability Distribution, Probability & Statistics, Scatter Plots, Statistics, Microsoft Excel, Excel Formulas, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      28 reviews

      Beginner · Course · 1 - 3 Months

    • E

      EIT Digital

      Geometric Algorithms

      Skills you'll gain: Geometry, Algorithms, Computer Graphics, Data Structures, Graph Theory, Spatial Data Analysis, Computational Thinking, Geographic Information Systems, Theoretical Computer Science, Spatial Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Statistics for Data Science Essentials

      Skills you'll gain: Probability, Probability & Statistics, Sampling (Statistics), Probability Distribution, Statistics, Data Science, Statistical Inference, Descriptive Statistics, Statistical Analysis, General Mathematics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Managing, Describing, and Analyzing Data

      Skills you'll gain: Statistical Inference, Probability Distribution, Statistical Analysis, Descriptive Statistics, Sampling (Statistics), Statistics, Probability & Statistics, Statistical Hypothesis Testing, R Programming, Data Analysis, Data Literacy, Probability, Statistical Visualization, Histogram

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      33 reviews

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Introduction to Uncertainty Quantification

      Skills you'll gain: Probability, Bayesian Statistics, Probability Distribution, Risk Modeling, Mathematical Modeling, Statistical Inference, Markov Model, Reliability, Simulations, Applied Mathematics, Statistical Analysis, Regression Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Robotic Path Planning and Task Execution

      Skills you'll gain: Robotic Process Automation, Artificial Intelligence, Graph Theory, Algorithms, Control Systems, Computer Science, Python Programming, Data Structures, Programming Principles

      Build toward a degree

      4.1
      Rating, 4.1 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Advanced Methods in Machine Learning Applications

      Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Statistical Machine Learning, Advanced Analytics, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Supervised Learning

      Intermediate · Course · 1 - 3 Months

    Searches related to random forests

    neural networks and random forests
    1…232425…32

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

    • Design and Analysis of Algorithms: Clemson University
    • Fundamental Tools of Data Wrangling: University of Colorado Boulder
    • Regression Analysis for Statistics & Machine Learning in R: Packt
    • The Total Data Quality Framework: University of Michigan
    • Supervised Learning Regression Classification Clustering: Simplilearn
    • Statistics and Data Analysis with Excel, Part 1: University of Colorado Boulder
    • Geometric Algorithms: EIT Digital
    • Statistics for Data Science Essentials: University of Pennsylvania
    • Managing, Describing, and Analyzing Data: University of Colorado Boulder
    • Introduction to Uncertainty Quantification: Johns Hopkins University

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