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    Results for "random forests"

    • Status: Free Trial
      Free Trial
      P

      Packt

      Python Programming for Quantum Computing

      Skills you'll gain: Object Oriented Programming (OOP), Python Programming, Data Structures, Data Manipulation, Computer Programming, Data Processing, Scripting, Software Installation, Development Environment, Jupyter

      4.4
      Rating, 4.4 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • É

      École Polytechnique

      Aléatoire : une introduction aux probabilités - Partie 2

      Skills you'll gain: Probability, Probability Distribution, Statistical Methods, Sampling (Statistics), Simulations, Statistical Inference, Statistical Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      39 reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      RStudio for Six Sigma - Basic Descriptive Statistics

      Skills you'll gain: Sampling (Statistics), Statistical Methods, Descriptive Statistics, Data Import/Export, Pareto Chart, Histogram, Statistical Analysis, Six Sigma Methodology, Box Plots, R Programming, Probability Distribution, Statistics, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      65 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Predictive Modeling with Python

      Skills you'll gain: Probability Distribution, Predictive Modeling, Exploratory Data Analysis, Statistical Methods, Statistical Inference, Data Analysis, Predictive Analytics, Statistical Analysis, Probability & Statistics, Statistical Hypothesis Testing, Descriptive Statistics, Data Cleansing, Data Manipulation, Regression Analysis, Feature Engineering, Data Processing, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • N

      National Taiwan University

      機器學習技法 (Machine Learning Techniques)

      Skills you'll gain: Statistical Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Supervised Learning, Applied Machine Learning, Machine Learning, Random Forest Algorithm, Decision Tree Learning, Deep Learning, Feature Engineering, Unsupervised Learning, Artificial Neural Networks, Regression Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      35 reviews

      Intermediate · Course · 3 - 6 Months

    • C

      Coursera Project Network

      Tidymodels in R: Building tidy machine learning models

      Skills you'll gain: Tidyverse (R Package), Data Visualization, Clinical Data Management, Data Manipulation, Predictive Modeling, R Programming, Data Processing, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Statistical Modeling, Performance Tuning

      Intermediate · Guided Project · Less Than 2 Hours

    • 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

    • E

      EIT Digital

      Approximation Algorithms

      Skills you'll gain: Algorithms, Graph Theory, Computational Thinking, Applied Mathematics, Theoretical Computer Science, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      33 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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

    Searches related to random forests

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

    • Python Programming for Quantum Computing: Packt
    • Aléatoire : une introduction aux probabilités - Partie 2: École Polytechnique
    • RStudio for Six Sigma - Basic Descriptive Statistics: Coursera Project Network
    • Predictive Modeling with Python : Edureka
    • 機器學習技法 (Machine Learning Techniques): National Taiwan University
    • Tidymodels in R: Building tidy machine learning models: Coursera Project Network
    • Design and Analysis of Algorithms: Clemson University
    • Approximation Algorithms: EIT Digital
    • Fundamental Tools of Data Wrangling: University of Colorado Boulder
    • Regression Analysis for Statistics & Machine Learning in R: Packt

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