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    Results for "random forests"

    • E

      EIT Digital

      I/O-efficient algorithms

      Skills you'll gain: Data Structures, Algorithms, Data Storage Technologies, Theoretical Computer Science, Performance Tuning, Database Theory, Graph Theory

      4.6
      Rating, 4.6 out of 5 stars
      ·
      60 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Predictive Modeling with Python

      Skills you'll gain: Statistical Modeling, Predictive Modeling, Exploratory Data Analysis, Probability & Statistics, Feature Engineering, Data Analysis, Statistical Methods, Statistical Inference, Statistical Hypothesis Testing, Statistical Analysis, Probability Distribution, Classification And Regression Tree (CART), Descriptive Statistics, Regression Analysis, Data Processing, Machine Learning, Data Cleansing, Data Transformation

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Tidymodels in R: Building tidy machine learning models

      Skills you'll gain: Data Manipulation, Data Visualization, Tidyverse (R Package), Predictive Modeling, Ggplot2, Statistical Visualization, R Programming, Applied Machine Learning, Machine Learning Methods, Data Cleansing, Data Processing, Feature Engineering, Predictive Analytics, Machine Learning, Performance Tuning

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Mining Quality Prediction Using Machine & Deep Learning

      Skills you'll gain: Regression Analysis, Predictive Modeling, Exploratory Data Analysis, Applied Machine Learning, Supervised Learning, Statistical Methods, Machine Learning Methods, Deep Learning, Pandas (Python Package), Decision Tree Learning, Machine Learning, Test Data, Data Analysis, Artificial Neural Networks, Random Forest Algorithm, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      67 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistics and Applied Data Analysis

      Skills you'll gain: Descriptive Statistics, Probability Distribution, Regression Analysis, Statistical Hypothesis Testing, Excel Formulas, Data Transformation, Data Cleansing, Statistical Analysis, Data Visualization, Sampling (Statistics), R Programming, Probability, Statistics, Data Analysis, Statistical Software, Sample Size Determination, Exploratory Data Analysis, Histogram, Statistical Methods, Microsoft Excel

      4.8
      Rating, 4.8 out of 5 stars
      ·
      38 reviews

      Beginner · Specialization · 3 - 6 Months

    • P

      Packt

      Regression Analysis for Statistics & Machine Learning in R

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

      Intermediate · Course · 1 - 3 Months

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

      University of Pennsylvania

      How to Use Data

      Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Data Visualization Software, Feature Engineering, Predictive Analytics, Data Presentation, Unsupervised Learning, Data Visualization, Interactive Data Visualization, Seaborn, Regression Analysis, Data Storage, SQL, Tableau Software, Data Literacy, Matplotlib, Forecasting, Data Analysis, Data Science, Machine Learning

      Beginner · Specialization · 1 - 3 Months

    • G

      Google Cloud

      Data Analysis with the FraudFinder Workshop

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Real Time Data, Google Cloud Platform, MLOps (Machine Learning Operations), Data Analysis, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Data Warehousing, Machine Learning

      Beginner · Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Hyperparameter Tuning with Keras Tuner

      Skills you'll gain: Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Performance Tuning, Machine Learning Methods, Python Programming, Machine Learning Algorithms, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      69 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Preview
      Preview
      N

      National Taiwan University

      機器學習技法 (Machine Learning Techniques)

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

      4.9
      Rating, 4.9 out of 5 stars
      ·
      35 reviews

      Intermediate · Course · 3 - 6 Months

    • C

      Coursera Project Network

      RStudio for Six Sigma - Basic Descriptive Statistics

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      65 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistics and Data Analysis with Excel, Part 1

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 1 - 3 Months

    Searches related to random forests

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

    • I/O-efficient algorithms: EIT Digital
    • Predictive Modeling with Python : Edureka
    • Tidymodels in R: Building tidy machine learning models: Coursera Project Network
    • Mining Quality Prediction Using Machine & Deep Learning: Coursera Project Network
    • Statistics and Applied Data Analysis: University of Colorado Boulder
    • Regression Analysis for Statistics & Machine Learning in R: Packt
    • How to Use Data: University of Pennsylvania
    • Data Analysis with the FraudFinder Workshop: Google Cloud
    • Hyperparameter Tuning with Keras Tuner: Coursera Project Network
    • 機器學習技法 (Machine Learning Techniques): National Taiwan University

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