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    Results for "random forest algorithm"

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing with Classification and Vector Spaces

      Skills you'll gain: Natural Language Processing, Applied Machine Learning, Text Mining, Supervised Learning, Dimensionality Reduction, Regression Analysis, Feature Engineering, Bayesian Statistics, Machine Learning Algorithms, Artificial Intelligence, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.6K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Sample-based Learning Methods

      Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Machine Learning Algorithms, Sampling (Statistics), Algorithms, Simulations, Machine Learning, Statistical Methods, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Capstone: Retrieving, Processing, and Visualizing Data with Python

      Skills you'll gain: Data Processing, Data Visualization, Data Cleansing, Data Collection, Data Visualization Software, Visualization (Computer Graphics), Data Analysis, Data Modeling, Python Programming, Web Scraping, Algorithms, Scripting, Database Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      14K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

      Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Artificial Neural Networks, Machine Learning Algorithms, Applied Machine Learning, Supervised Learning, Artificial Intelligence

      4.9
      Rating, 4.9 out of 5 stars
      ·
      63K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Object Oriented Java Programming: Data Structures and Beyond

      Skills you'll gain: JUnit, Network Analysis, Growth Mindedness, Event-Driven Programming, Graph Theory, Unit Testing, Technical Communication, Java, Data Structures, Java Programming, Performance Tuning, Object Oriented Design, Data Visualization Software, Object Oriented Programming (OOP), Algorithms, Visualization (Computer Graphics), Interactive Data Visualization, Software Design, Analysis, Problem Solving

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      U

      Universidade de São Paulo

      Introdução à Ciência da Computação com Python Parte 1

      Skills you'll gain: Debugging, Computational Thinking, Programming Principles, Data Structures, Computer Programming, Program Development, Integrated Development Environments, Computer Science, Python Programming, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Divide and Conquer, Sorting and Searching, and Randomized Algorithms

      Skills you'll gain: Algorithms, Graph Theory, Theoretical Computer Science, Data Structures, Computational Thinking, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Introduction to Probability and Data with R

      Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R Programming, Bayesian Statistics, Data Analysis, Probability Distribution, Probability, Statistical Analysis, Quantitative Research, Statistics, Statistical Inference, Descriptive Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.8K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Introductory C Programming

      Skills you'll gain: Debugging, C (Programming Language), Algorithms, Data Structures, Programming Principles, Program Development, Unit Testing, System Programming, Development Testing, Test Case, Software Architecture, Software Testing, Software Development, Simulations, Maintainability, Computer Programming, Command-Line Interface, Software Engineering, Software Design, Problem Solving

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science: Statistics and Machine Learning

      Skills you'll gain: Rmarkdown, Shiny (R Package), Statistical Inference, Statistical Hypothesis Testing, Predictive Modeling, Regression Analysis, Exploratory Data Analysis, Statistical Analysis, Machine Learning Algorithms, Statistical Methods, Plotly, Statistics, Classification And Regression Tree (CART), R Programming, Data Visualization, Data Science, Statistical Modeling, Data Presentation, Machine Learning, GitHub

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics

      Skills you'll gain: Bayesian Statistics, Time Series Analysis and Forecasting, R Programming, Statistical Methods, Data Presentation, Forecasting, Predictive Modeling, Statistical Inference, Statistical Modeling, Markov Model, Probability, Probability & Statistics, Statistical Machine Learning, Data Analysis, Statistical Analysis, Regression Analysis, Statistics, Unsupervised Learning, Probability Distribution, Data Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Meta Marketing Science Certification Prep

      Skills you'll gain: Marketing Analytics, Descriptive Statistics, Marketing Effectiveness, Marketing, A/B Testing, Bayesian Statistics, Key Performance Indicators (KPIs), Statistical Hypothesis Testing, Performance Analysis, Performance Measurement, Customer Analysis, Statistical Inference, Statistics, Statistical Modeling, Advertising Campaigns, Sampling (Statistics), Web Analytics, Google Analytics, Scheduling, Marketing Strategies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Specialization · 3 - 6 Months

    1…91011…159

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

    • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
    • Sample-based Learning Methods: University of Alberta
    • Capstone: Retrieving, Processing, and Visualizing Data with Python: University of Michigan
    • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
    • Object Oriented Java Programming: Data Structures and Beyond: University of California San Diego
    • Introdução à Ciência da Computação com Python Parte 1: Universidade de São Paulo
    • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
    • Introduction to Probability and Data with R: Duke University
    • Introductory C Programming: Duke University
    • Data Science: Statistics and Machine Learning: Johns Hopkins University

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