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    Results for "random forests"

    • Status: Free Trial
      Free Trial
      U

      University of Maryland, College Park

      Framework for Data Collection and Analysis

      Skills you'll gain: Surveys, Data Collection, Research Methodologies, Research, Research Design, Sampling (Statistics), Data Quality, Data Validation, Data Analysis, Data Management

      4.2
      Rating, 4.2 out of 5 stars
      ·
      764 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Applied Machine Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Feature Engineering, Unsupervised Learning, Applied Machine Learning, Reinforcement Learning, Machine Learning Algorithms, Supervised Learning, Computer Vision, Image Analysis, Regression Analysis, Decision Tree Learning, Data Processing, Classification And Regression Tree (CART), Machine Learning, Predictive Modeling, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Data Cleansing, Deep Learning, Random Forest Algorithm

      3.6
      Rating, 3.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Inferential and Predictive Statistics for Business

      Skills you'll gain: Data-Driven Decision-Making, Business Analytics, Statistical Hypothesis Testing, Statistical Inference, Predictive Analytics, Statistical Analysis, Statistical Methods, Regression Analysis, Estimation, Probability & Statistics, Sampling (Statistics)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      866 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Introduction to Machine Learning with Python

      Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative AI, Image Analysis, Machine Learning Algorithms, Deep Learning, Machine Learning, Python Programming, Computer Vision, Artificial Neural Networks, Data Processing, Computer Programming, Regression Analysis

      3.7
      Rating, 3.7 out of 5 stars
      ·
      21 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Machine Learning for Supply Chains

      Skills you'll gain: Image Analysis, Time Series Analysis and Forecasting, Data Manipulation, Operations Research, Demand Planning, Feature Engineering, Matplotlib, Pandas (Python Package), Applied Machine Learning, Trend Analysis, Supply Chain, Data Visualization Software, Inventory Management System, Supply Chain Management, Machine Learning Algorithms, Regression Analysis, Supervised Learning, Data Analysis, Machine Learning, Data Science

      3.5
      Rating, 3.5 out of 5 stars
      ·
      78 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Deploying Machine Learning Models

      Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Web Frameworks, AI Personalization, Interactive Data Visualization, System Design and Implementation, Applied Machine Learning, Machine Learning, Feature Engineering, Data Processing, Python Programming

      3.5
      Rating, 3.5 out of 5 stars
      ·
      51 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Quantitative Research

      Skills you'll gain: Quantitative Research, Survey Creation, Statistical Hypothesis Testing, Statistical Methods, Statistical Analysis, Regression Analysis, Marketing Analytics, Quality Control, Market Research, Target Market, Data Analysis, Sampling (Statistics), Market Opportunities, Marketing, Descriptive Statistics, Statistical Inference

      4.4
      Rating, 4.4 out of 5 stars
      ·
      339 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 3: Learning

      Skills you'll gain: Bayesian Network, Statistical Machine Learning, Unsupervised Learning, Supervised Learning, Machine Learning, Markov Model, Statistical Modeling, Statistical Methods, Graph Theory, Probability & Statistics, Probability Distribution, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      303 reviews

      Advanced · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Interpretable Machine Learning Applications: Part 1

      Skills you'll gain: Classification And Regression Tree (CART), Feature Engineering, Random Forest Algorithm, Decision Tree Learning, Data Import/Export, Applied Machine Learning, Data Analysis, Predictive Modeling, Supervised Learning, Machine Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      54 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Preview
      Preview
      N

      Northeastern University

      Machine Learning in Healthcare: Fundamentals & Applications

      Skills you'll gain: Data Mining, Machine Learning, Predictive Modeling, Data Ethics, Health Informatics, Health Equity, Cardiology, Applied Machine Learning, Deep Learning, Artificial Intelligence, Healthcare Industry Knowledge, Random Forest Algorithm, Unsupervised Learning, Data Validation, Algorithms, Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science in Real Life

      Skills you'll gain: Data Cleansing, Data Manipulation, Data Science, Data Quality, Data Management, Data Analysis, Statistical Analysis, Statistical Inference, Statistics, Sampling (Statistics)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      2.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Introduction to Machine Learning: Supervised Learning

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Decision Tree Learning, Exploratory Data Analysis, Data Analysis, Pandas (Python Package), Data Processing, Predictive Modeling, Random Forest Algorithm, Data Cleansing, Scikit Learn (Machine Learning Library), Feature Engineering, Regression Analysis, Performance Tuning

      Build toward a degree

      3.4
      Rating, 3.4 out of 5 stars
      ·
      79 reviews

      Intermediate · 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

    • Framework for Data Collection and Analysis: University of Maryland, College Park
    • Applied Machine Learning: Johns Hopkins University
    • Inferential and Predictive Statistics for Business: University of Illinois Urbana-Champaign
    • Introduction to Machine Learning with Python: Arizona State University
    • Machine Learning for Supply Chains: LearnQuest
    • Deploying Machine Learning Models: University of California San Diego
    • Quantitative Research: University of California, Davis
    • Probabilistic Graphical Models 3: Learning: Stanford University
    • Interpretable Machine Learning Applications: Part 1: Coursera Project Network
    • Machine Learning in Healthcare: Fundamentals & Applications: Northeastern University

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