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    Results for "random forests"

    • E

      EIT Digital

      I/O-efficient algorithms

      Skills you'll gain: Data Structures, Theoretical Computer Science, Data Storage Technologies, Algorithms, Graph Theory, File Systems, Data Access, Performance Tuning, Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      60 reviews

      Advanced · 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

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

      University of Pennsylvania

      Intro to Predictive Analytics Using Python

      Skills you'll gain: Feature Engineering, Unsupervised Learning, Predictive Modeling, Predictive Analytics, Decision Tree Learning, Classification And Regression Tree (CART), Supervised Learning, Forecasting, Random Forest Algorithm, Scikit Learn (Machine Learning Library), Data Analysis, Regression Analysis, Machine Learning, Python Programming

      Beginner · Course · 1 - 4 Weeks

    • 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

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistics and Applied Data Analysis

      Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Statistical Programming, Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Probability & Statistics, Scatter Plots, Microsoft Excel, Statistics, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      37 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      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

      Coursera Project Network

      Hyperparameter Tuning with Keras Tuner

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      69 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • 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

    • 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

    • G

      Google Cloud

      Data Analysis with the FraudFinder Workshop

      Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Real Time Data, Applied Machine Learning, MLOps (Machine Learning Operations), Anomaly Detection, Application Deployment, Data Store, Jupyter, Google Cloud Platform, Predictive Modeling, Data Analysis, Data Processing, Data Warehousing, Machine Learning, Continuous Monitoring, Statistical Modeling

      Beginner · 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: Feature Engineering, Statistical Machine Learning, Supervised Learning, Applied Machine Learning, Deep Learning, Machine Learning, Random Forest Algorithm, Decision Tree Learning, Artificial Neural Networks, Unsupervised Learning, Dimensionality Reduction, Regression Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      35 reviews

      Intermediate · Course · 3 - 6 Months

    • 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
      ·
      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
    • Fundamental Tools of Data Wrangling: University of Colorado Boulder
    • Intro to Predictive Analytics Using Python: University of Pennsylvania
    • Predictive Modeling with Python : Edureka
    • Statistics and Applied Data Analysis: University of Colorado Boulder
    • Tidymodels in R: Building tidy machine learning models: Coursera Project Network
    • Hyperparameter Tuning with Keras Tuner: Coursera Project Network
    • Supervised Learning Regression Classification Clustering: Simplilearn
    • Regression Analysis for Statistics & Machine Learning in R: Packt
    • Data Analysis with the FraudFinder Workshop: Google Cloud

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