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    • Random Forest

    Random Forest Courses Online

    Study random forest algorithms for machine learning. Learn to build and apply random forest models for classification and regression tasks.

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    Explore the Random Forest Course Catalog

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Foundations of Probability and Random Variables

      Skills you'll gain: R Programming, Statistical Analysis, Statistical Methods, Combinatorics, Data Analysis, Probability, Probability Distribution, Probability & Statistics, Bayesian Statistics, Applied Mathematics, Data Science, Computational Thinking, Artificial Intelligence and Machine Learning (AI/ML), Simulations

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Introduction to AI: Key Concepts and Applications

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Performance Metric, Strategic Leadership, Strategic Decision-Making, Data Quality, Applied Machine Learning, Data Ethics, Machine Learning, Supervised Learning, Algorithms, Artificial Neural Networks, Data Validation, Random Forest Algorithm, Resource Utilization, System Requirements

      4.8
      Rating, 4.8 out of 5 stars
      ·
      19 reviews

      Intermediate · Course · 1 - 3 Months

    • P

      Pontificia Universidad Católica de Chile

      Introducción a los modelos de demanda de transporte

      Skills you'll gain: Transportation Operations, Data Collection, Statistical Modeling, Statistical Methods, Forecasting, Regression Analysis, Surveys, Supply And Demand, Probability Distribution, Probability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      460 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Decision Tree Classifier for Beginners in R

      Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Predictive Modeling, Data Manipulation, Statistical Modeling, R Programming, Supervised Learning, Machine Learning Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      P

      Packt

      Deep Learning with Real-World Projects

      Skills you'll gain: Matplotlib, Data Visualization, Deep Learning, Linear Algebra, Artificial Neural Networks, NumPy, Image Analysis, Keras (Neural Network Library), Seaborn, Pandas (Python Package), Tensorflow, Machine Learning, Applied Machine Learning, Computer Vision, Scikit Learn (Machine Learning Library), Supervised Learning, Python Programming, Jupyter, Machine Learning Methods, Data Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      6 reviews

      Beginner · Specialization · 3 - 6 Months

    • P

      Packt

      No-Code Machine Learning Using Amazon AWS SageMaker Canvas

      Skills you'll gain: AWS SageMaker, Applied Machine Learning, Machine Learning, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Data Processing, Version Control, Amazon S3, Data Validation, Cloud Services

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Fundamentals of Macroscopic and Microscopic Thermodynamics

      Skills you'll gain: Statistical Methods, Physics, Probability Distribution, Physical Science, Chemistry, Engineering Calculations, Calculus

      4.3
      Rating, 4.3 out of 5 stars
      ·
      262 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of London

      Statistics for International Business

      Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Data Presentation, Statistics, Estimation, Probability, Data-Driven Decision-Making, Probability & Statistics, Statistical Inference, Statistical Hypothesis Testing, Probability Distribution, Data Visualization, Data Analysis, Histogram, Graphing

      3.8
      Rating, 3.8 out of 5 stars
      ·
      309 reviews

      Mixed · Course · 1 - 4 Weeks

    • T

      The Chinese University of Hong Kong

      Information Theory

      Skills you'll gain: Digital Communications, Theoretical Computer Science, Telecommunications, Information Management, Probability, Probability Distribution, Technical Communication, Algorithms, General Mathematics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      164 reviews

      Mixed · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      O

      O.P. Jindal Global University

      Unsupervised Learning and Its Applications in Marketing

      Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Customer Insights, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Scikit Learn (Machine Learning Library), Marketing, Unstructured Data, Statistical Machine Learning, Target Audience, Python Programming, Market Analysis, Exploratory Data Analysis, Data-Driven Decision-Making, Algorithms

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      NVIDIA: Prompt Engineering and Data Analysis

      Skills you'll gain: Prompt Engineering, Data Visualization, Large Language Modeling, Text Mining, Scatter Plots, Data Visualization Software, Generative AI, Histogram, Performance Tuning, Data Analysis, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Maryland, College Park

      Combining and Analyzing Complex Data

      Skills you'll gain: Statistical Analysis, Statistical Software, Data Integration, Data Ethics, Stata, R Programming, Sampling (Statistics), Statistical Modeling, Descriptive Statistics, Regression Analysis, Probability & Statistics, Information Privacy

      4.1
      Rating, 4.1 out of 5 stars
      ·
      63 reviews

      Mixed · Course · 1 - 4 Weeks

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

    • Foundations of Probability and Random Variables: Johns Hopkins University
    • Introduction to AI: Key Concepts and Applications: Johns Hopkins University
    • Introducción a los modelos de demanda de transporte: Pontificia Universidad Católica de Chile
    • Decision Tree Classifier for Beginners in R: Coursera Project Network
    • Deep Learning with Real-World Projects: Packt
    • No-Code Machine Learning Using Amazon AWS SageMaker Canvas: Packt
    • Fundamentals of Macroscopic and Microscopic Thermodynamics: University of Colorado Boulder
    • Statistics for International Business: University of London
    • Information Theory: The Chinese University of Hong Kong
    • Unsupervised Learning and Its Applications in Marketing: O.P. Jindal Global University

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

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