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    Results for "random forest algorithm"

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics: From Concept to Data Analysis

      Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistics, Data Analysis, Probability, Statistical Modeling, Statistical Analysis, Microsoft Excel, Probability Distribution, R Programming, Regression Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Science Methodology

      Skills you'll gain: Peer Review, Data Modeling, Jupyter, Data Collection, Business Analysis, Data Science, Decision Tree Learning, Predictive Modeling, Software Development Methodologies, Data Processing, Business Requirements, Data Cleansing, Data Analysis, Data Mining, Data Quality, Data Transformation, User Feedback, Feature Engineering, Stakeholder Engagement

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      C and Go: Classical and Modern Programming

      Skills you'll gain: Go (Programming Language), Debugging, C (Programming Language), Data Structures, C and C++, C++ (Programming Language), Object Oriented Programming (OOP), Computer Programming, Code Review, Unit Testing, Command-Line Interface, Data-oriented programming, Integrated Development Environments, Computer Science, Algorithms, File Systems, Computational Thinking, Software Technical Review, Integration Testing, Software Design

      4.5
      Rating, 4.5 out of 5 stars
      ·
      7.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Programming Fundamentals

      Skills you'll gain: Programming Principles, Algorithms, C (Programming Language), Computer Programming, Problem Solving

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Tools for Data Science

      Skills you'll gain: Jupyter, Computer Programming Tools, Data Visualization Software, Data Science, GitHub, R (Software), Big Data, R Programming, Statistical Programming, Machine Learning, Cloud Computing, Git (Version Control System), IBM Cloud, Development Environment, Other Programming Languages, Version Control, Query Languages, Python Programming, Open Source Technology

      4.5
      Rating, 4.5 out of 5 stars
      ·
      30K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      D

      DeepLearning.AI

      Generative AI with Large Language Models

      Skills you'll gain: Generative AI, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Python Programming, Applied Machine Learning, Scalability, Natural Language Processing, Responsible AI, Machine Learning, Reinforcement Learning, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.5K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      T

      The University of Edinburgh

      Code Yourself! An Introduction to Programming

      Skills you'll gain: Software Engineering, Software Development, Programming Principles, Software Design, Game Design, Event-Driven Programming, Computer Programming, Animation and Game Design, Debugging, Computational Thinking, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.6K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Bioinformatics

      Skills you'll gain: Bioinformatics, Molecular Biology, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Data Analysis, Markov Model, Network Analysis, Biochemistry, Biotechnology, Life Sciences, Infectious Diseases, Statistical Analysis, Biology, Pharmacology, Algorithms, Machine Learning, Data Analysis Software, Data Mapping, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Introduction and Applications

      Skills you'll gain: Generative AI, ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Machine Learning, Virtual Environment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Java Programming: Arrays, Lists, and Structured Data

      Skills you'll gain: Java Programming, Object Oriented Programming (OOP), Data Structures, Java, Cryptography, Software Engineering, Computer Programming, Algorithms, Encryption, Data Analysis, Data Processing, Web Servers, File Management, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Structuring Machine Learning Projects

      Skills you'll gain: Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Debugging, Data-Driven Decision-Making, Artificial Neural Networks, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      50K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Shortest Paths Revisited, NP-Complete Problems and What To Do About Them

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      827 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Bayesian Statistics: From Concept to Data Analysis: University of California, Santa Cruz
    • Data Science Methodology: IBM
    • C and Go: Classical and Modern Programming: University of California, Santa Cruz
    • Programming Fundamentals: Duke University
    • Tools for Data Science: IBM
    • Generative AI with Large Language Models: DeepLearning.AI
    • Code Yourself! An Introduction to Programming: The University of Edinburgh
    • Bioinformatics: University of California San Diego
    • Generative AI: Introduction and Applications: IBM
    • Java Programming: Arrays, Lists, and Structured Data: Duke University

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