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    Results for "random forests"

    • C

      Coursera Project Network

      Machine Learning with PySpark: Customer Churn Analysis

      Skills you'll gain: PySpark, Apache Spark, Feature Engineering, Exploratory Data Analysis, Data Processing, Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Data Analysis, Decision Tree Learning, Data Manipulation, Predictive Analytics, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      20 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Classification Trees in Python, From Start To Finish

      Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Predictive Modeling, Data Manipulation, Data Cleansing, Supervised Learning, Data Transformation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      230 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      IBM

      Statistics for Data Science with Python

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Descriptive Statistics, Data Visualization, Statistical Methods, Probability Distribution, Probability & Statistics, Statistics, Regression Analysis, Plot (Graphics), Matplotlib, Data Analysis, Data Science, Pandas (Python Package), Probability, Correlation Analysis, Jupyter, Histogram

      4.5
      Rating, 4.5 out of 5 stars
      ·
      442 reviews

      Mixed · Course · 1 - 3 Months

    • 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 Methods, Statistical Inference, Public Health, Quantitative Research, Science and Research, Scientific Methods

      4.8
      Rating, 4.8 out of 5 stars
      ·
      643 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Portfolio Selection and Risk Management

      Skills you'll gain: Portfolio Management, Investments, Investment Management, Financial Market, Finance, Risk Management, Risk Appetite, Return On Investment, Risk Analysis, Statistical Methods, Financial Analysis, Probability Distribution, Quantitative Research, Variance Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      615 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Machine Learning for Computer Vision

      Skills you'll gain: Computer Vision, Image Analysis, Applied Machine Learning, Machine Learning, Supervised Learning, Feature Engineering, Classification And Regression Tree (CART), Data Validation, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Exploring and Producing Data for Business Decision Making

      Skills you'll gain: Sampling (Statistics), Data Analysis, Descriptive Statistics, Data-Driven Decision-Making, Probability & Statistics, Statistical Analysis, Statistical Inference, Data Collection, Data Visualization, Data Presentation, Decision Making, Microsoft Excel

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Introduction to Machine Learning in Sports Analytics

      Skills you'll gain: Classification And Regression Tree (CART), Supervised Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Feature Engineering, Regression Analysis, Machine Learning Algorithms, Random Forest Algorithm, Data Processing, Data Analysis, Data Collection, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      25 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Integral Calculus through Data and Modeling

      Skills you'll gain: Calculus, Integral Calculus, Numerical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Software, Engineering Calculations, Probability, Mechanics, Mathematical Modeling, Mathematical Theory & Analysis, Estimation, Geometry, Scientific Visualization, Data Analysis, Physics, Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      129 reviews

      Intermediate · Specialization · 3 - 6 Months

    • 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

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      TensorFlow 2 for Deep Learning

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Generative AI, Deep Learning, Bayesian Statistics, Image Analysis, Statistical Modeling, Natural Language Processing, Data Pipelines, Data Validation, Predictive Modeling, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Google Cloud Platform, Computer Vision, Probability Distribution, Probability & Statistics, Data Processing, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      713 reviews

      Intermediate · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Cervical Cancer Risk Prediction Using Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Data Analysis, Data Processing, Data Cleansing, Matplotlib, Data Manipulation, Pandas (Python Package), Data Visualization Software, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Machine Learning, Scikit Learn (Machine Learning Library), NumPy, Health Informatics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      41 reviews

      Beginner · Guided Project · Less Than 2 Hours

    Searches related to random forests

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

    • Machine Learning with PySpark: Customer Churn Analysis: Coursera Project Network
    • Classification Trees in Python, From Start To Finish: Coursera Project Network
    • Statistics for Data Science with Python: IBM
    • Hypothesis Testing in Public Health : Johns Hopkins University
    • Portfolio Selection and Risk Management: Rice University
    • Machine Learning for Computer Vision: MathWorks
    • Exploring and Producing Data for Business Decision Making: University of Illinois Urbana-Champaign
    • Introduction to Machine Learning in Sports Analytics: University of Michigan
    • Integral Calculus through Data and Modeling: Johns Hopkins University
    • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder

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