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    Results for "random forest algorithmus"

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Advanced Probability and Statistical Methods

      Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Probability Distribution, Data Analysis, Markov Model, Data Science, Statistics, Statistical Inference, Probability, R Programming

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      How to Describe Data

      Skills you'll gain: Histogram, Data Visualization, Data Literacy, Data Presentation, Descriptive Statistics, Data Storytelling, Statistics, Data Analysis, Statistical Visualization, Sampling (Statistics), Data Validation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      TensorFlow Prediction: Identify Penguin Species

      Skills you'll gain: Data Processing, Tensorflow, Applied Machine Learning, Feature Engineering, Data Cleansing, Classification And Regression Tree (CART), Data Manipulation, Machine Learning, Predictive Modeling, Random Forest Algorithm, Pandas (Python Package), Data Analysis, Exploratory Data Analysis

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Probabilistic Deep Learning with TensorFlow 2

      Skills you'll gain: Tensorflow, Generative Model Architectures, Deep Learning, Image Analysis, Bayesian Statistics, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Dimensionality Reduction

      4.7
      Rating, 4.7 out of 5 stars
      ·
      109 reviews

      Advanced · Course · 1 - 3 Months

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

      University of Michigan

      More Applied Data Science with Python

      Skills you'll gain: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Data Processing, Anomaly Detection, Machine Learning Methods, Data Science, Supervised Learning, Machine Learning, Data Analysis, Data Manipulation, Python Programming, Exploratory Data Analysis, Machine Learning Algorithms, Jupyter, Probability Distribution

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      The Analyze Phase for the 6 σ Black Belt

      Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Statistical Hypothesis Testing, Statistical Analysis, Analysis, Statistical Inference, Process Analysis, Correlation Analysis, Data Analysis, Probability & Statistics, Risk Analysis, Regression Analysis, Sample Size Determination, Sampling (Statistics)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      50 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      University of Leeds

      Statistical Methods

      Skills you'll gain: Exploratory Data Analysis, Statistical Methods, Statistical Modeling, R (Software), Data Collection, Statistical Inference, Probability, Data Analysis, Statistical Analysis, Probability Distribution, Simulations, Statistical Visualization, Descriptive Statistics, Sampling (Statistics), Data Visualization Software

      4.8
      Rating, 4.8 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      RStudio for Six Sigma - Basic Descriptive Statistics

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      65 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Statistics For Data Science

      Skills you'll gain: Correlation Analysis, Probability & Statistics, Statistics, Statistical Analysis, Data Analysis, Data Science, Probability Distribution, Descriptive Statistics, Statistical Inference

      4
      Rating, 4 out of 5 stars
      ·
      36 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Preview
      Preview
      U

      University of Illinois Urbana-Champaign

      Исследование и генерация данных для принятия бизн.-реш.

      Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Data Analysis, Statistics, Quantitative Research, Business Analysis, Business Risk Management, Statistical Analysis, Data-Driven Decision-Making, Statistical Visualization, Statistical Methods, Microsoft Excel, Probability Distribution, Data Presentation, Influencing

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistical Learning for Data Science

      Skills you'll gain: Statistical Modeling, Applied Machine Learning, Data Science, Statistical Methods, Classification And Regression Tree (CART), Statistical Programming, Statistical Analysis, Supervised Learning, Regression Analysis, R Programming, Predictive Modeling, Artificial Neural Networks, Statistical Machine Learning, Dimensionality Reduction, Unsupervised Learning, Statistical Inference, Advanced Analytics, Decision Tree Learning, Machine Learning, Sampling (Statistics)

      Build toward a degree

      4
      Rating, 4 out of 5 stars
      ·
      19 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      Scrimba

      API Basics 1: Build a Bot (Fetch, JSON & Async JavaScript)

      Skills you'll gain: JSON, Application Programming Interface (API), Restful API, Javascript, Web Applications, Web Servers, Hypertext Markup Language (HTML), Servers, Cascading Style Sheets (CSS)

      5
      Rating, 5 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Advanced Probability and Statistical Methods: Johns Hopkins University
    • How to Describe Data: University of Michigan
    • TensorFlow Prediction: Identify Penguin Species: Coursera Project Network
    • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
    • More Applied Data Science with Python: University of Michigan
    • The Analyze Phase for the 6 σ Black Belt: Kennesaw State University
    • Statistical Methods: University of Leeds
    • RStudio for Six Sigma - Basic Descriptive Statistics: Coursera Project Network
    • Statistics For Data Science: Coursera Project Network
    • Исследование и генерация данных для принятия бизн.-реш.: University of Illinois Urbana-Champaign

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