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    Results for "random forests"

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics: Techniques and Models

      Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Simulations, Statistical Inference, Data Analysis, Probability, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      491 reviews

      Intermediate · Course · 1 - 3 Months

    • N

      Northeastern University

      Machine Learning in Healthcare: Fundamentals & Applications

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8 reviews

      Beginner · 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, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Data Science, Python Programming, Classification And Regression Tree (CART), Mathematical Modeling, Applied Mathematics, Exploratory Data Analysis, Statistical Programming, Regression Analysis, Feature Engineering, Data Cleansing, Performance Tuning

      Build toward a degree

      3.4
      Rating, 3.4 out of 5 stars
      ·
      77 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Business Applications of Hypothesis Testing and Confidence Interval Estimation

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sample Size Determination, Statistical Inference, Estimation, Statistics, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Microsoft Excel, Excel Formulas, Decision Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • I

      IBM

      Specialized Models: Time Series and Survival Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Jupyter, Data Cleansing, Applied Machine Learning, Data Transformation, Exploratory Data Analysis, Pandas (Python Package)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      134 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Machine Learning with PySpark: Customer Churn Analysis

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, PySpark, Data Processing, Data Cleansing, Data Transformation, Apache Spark, Data-Driven Decision-Making, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Application Deployment, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Hypothesis Testing in Public Health

      Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Inference, Scientific Methods, Statistical Analysis, Quantitative Research, Medical Science and Research, Probability & Statistics, Public Health

      4.8
      Rating, 4.8 out of 5 stars
      ·
      637 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 2: Inference

      Skills you'll gain: Bayesian Network, Bayesian Statistics, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      488 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      Emory University

      Foundations of Marketing Analytics

      Skills you'll gain: Pivot Tables And Charts, Customer Analysis, Probability Distribution, Customer Demand Planning, Marketing Analytics, Forecasting, Descriptive Statistics, Microsoft Excel, Social Media Marketing, Exploratory Data Analysis, Probability, Statistical Analysis, Marketing Effectiveness, Target Market, Social Media, Revenue Forecasting, Time Series Analysis and Forecasting, Predictive Modeling, Statistics, Marketing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      517 reviews

      Intermediate · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Scikit-Learn to Solve Regression Machine Learning Problems

      Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Random Forest Algorithm

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      Universidad Austral

      Estadística aplicada a los negocios

      Skills you'll gain: Regression Analysis, Statistical Inference, Descriptive Statistics, Business Risk Management, Risk Analysis, Business Analytics, Statistics, Sampling (Statistics), Microsoft Excel, Data Analysis, Probability, Statistical Analysis, Data-Driven Decision-Making, Probability Distribution, Statistical Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      756 reviews

      Beginner · Course · 1 - 4 Weeks

    • 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, Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Computer Vision, Computer Programming, Regression Analysis

      3.7
      Rating, 3.7 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to random forests

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

    • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
    • Machine Learning in Healthcare: Fundamentals & Applications: Northeastern University
    • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
    • Business Applications of Hypothesis Testing and Confidence Interval Estimation : Rice University
    • Specialized Models: Time Series and Survival Analysis: IBM
    • Machine Learning with PySpark: Customer Churn Analysis: Coursera Project Network
    • Hypothesis Testing in Public Health : Johns Hopkins University
    • Probabilistic Graphical Models 2: Inference: Stanford University
    • Foundations of Marketing Analytics: Emory University
    • Scikit-Learn to Solve Regression Machine Learning Problems: Coursera Project Network

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