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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
      P

      Packt

      RNN Architecture and Sentiment Classification

      Skills you'll gain: PyTorch (Machine Learning Library), Artificial Neural Networks, Natural Language Processing, Text Mining, Deep Learning, Applied Machine Learning, Network Architecture, Time Series Analysis and Forecasting, Data Processing, Machine Learning

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      I

      IIT Roorkee

      Data Mining for Smart Cities

      Skills you'll gain: Unsupervised Learning, Anomaly Detection, Supervised Learning, Data Mining, Machine Learning Algorithms, Deep Learning, Data Science, Python Programming, Artificial Neural Networks, Exploratory Data Analysis, Internet Of Things, Probability & Statistics, NumPy, Real Time Data, Regression Analysis

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Advanced ML Algorithms & Unsupervised Learning

      Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Random Forest Algorithm, Deep Learning, Machine Learning Algorithms, Machine Learning, Statistical Machine Learning, Supervised Learning, Decision Tree Learning, Classification And Regression Tree (CART), Feature Engineering, Artificial Neural Networks, Predictive Modeling

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      Deep Learning - Recurrent Neural Networks with TensorFlow

      Skills you'll gain: Time Series Analysis and Forecasting, Natural Language Processing, Deep Learning, Tensorflow, Text Mining, Artificial Neural Networks, Predictive Modeling, Data Processing, Machine Learning, Data Science

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      American Psychological Association

      Basic Inferential Statistics for Psychology

      Skills you'll gain: Statistical Hypothesis Testing, Probability & Statistics, Sample Size Determination, Quantitative Research, Sampling (Statistics), Statistics, Statistical Methods, Statistical Inference, Statistical Analysis, Statistical Software, Data Analysis, Descriptive Statistics, Regression Analysis, Psychology, Data Literacy, Research Design, Research

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      Interactive Brokers

      ESG Investing: Industry Impacts & Transformations

      Skills you'll gain: Environmental Social And Corporate Governance (ESG), Corporate Sustainability, Market Analysis, Sustainability Reporting, Investment Management, Credit Risk, Governance, Market Dynamics, Risk Analysis, Business Transformation, Portfolio Management, Corporate Strategy, Due Diligence, Supply And Demand, Emerging Technologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      25 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Exploratory Data Analysis & Core ML Algorithms

      Skills you'll gain: Exploratory Data Analysis, Applied Machine Learning, Machine Learning Algorithms, Data Analysis, Supervised Learning, Classification And Regression Tree (CART), Statistical Machine Learning, Machine Learning, Predictive Modeling, Regression Analysis, Decision Tree Learning, Feature Engineering, Data Processing, Data Cleansing, Bayesian Statistics

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      T

      The University of Chicago

      Machine Learning: Concepts and Applications

      Skills you'll gain: Unsupervised Learning, Keras (Neural Network Library), Dimensionality Reduction, Deep Learning, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Predictive Modeling, Scikit Learn (Machine Learning Library), Pandas (Python Package), Applied Machine Learning, Supervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Random Forest Algorithm, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Artificial Neural Networks, Tensorflow

      3.8
      Rating, 3.8 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      The DMAIC Framework - Define and Measure Phase

      Skills you'll gain: Statistics, Process Capability, Probability & Statistics, Data Collection, Data Analysis, Lean Six Sigma, Project Management, Sampling (Statistics), Six Sigma Methodology, Process Analysis, Descriptive Statistics, Performance Metric, Statistical Analysis, Project Planning, Work Breakdown Structure, Project Management Life Cycle, Business Metrics, Stakeholder Management, Quality Control

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Using probability distributions for real world problems in R

      Skills you'll gain: Probability Distribution, Statistical Methods, Statistical Hypothesis Testing, Statistical Inference, Statistical Visualization, Statistics, Data Visualization, R Programming, Probability, Exploratory Data Analysis, Data Science, Statistical Modeling, Data Analysis, Statistical Analysis, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      30 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Interpretable Machine Learning Applications: Part 2

      Skills you'll gain: Classification And Regression Tree (CART), Data Processing, Applied Machine Learning, Decision Tree Learning, Data Transformation, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Machine Learning, Data Analysis, Exploratory Data Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      22 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Preview
      Preview
      U

      Universidad Nacional Autónoma de México

      Estadística y probabilidad: principios de Inferencia

      Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability Distribution, Sampling (Statistics), Probability & Statistics, Probability, Statistics, Statistical Analysis, Descriptive Statistics

      3.1
      Rating, 3.1 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • RNN Architecture and Sentiment Classification: Packt
    • Data Mining for Smart Cities: IIT Roorkee
    • Advanced ML Algorithms & Unsupervised Learning: Packt
    • Deep Learning - Recurrent Neural Networks with TensorFlow: Packt
    • Basic Inferential Statistics for Psychology: American Psychological Association
    • ESG Investing: Industry Impacts & Transformations: Interactive Brokers
    • Exploratory Data Analysis & Core ML Algorithms: Packt
    • Machine Learning: Concepts and Applications: The University of Chicago
    • The DMAIC Framework - Define and Measure Phase: SkillUp EdTech
    • Using probability distributions for real world problems in R: Coursera Project Network

    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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