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  • Random Forest Algorithm

Results for "random forest algorithm"


  • Status: Free Trial
    Free Trial
    S

    Scrimba

    Learn Python

    Skills you'll gain: Object Oriented Programming (OOP), File I/O, Data Structures, Python Programming, Programming Principles, User Interface (UI), Computer Programming, Scripting, Software Engineering, Performance Tuning, Scripting Languages, Web Development, Computational Thinking, Debugging, Random Forest Algorithm, Software Development, Web Development Tools

    4.6
    Rating, 4.6 out of 5 stars
    ·
    55 reviews

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Pattern Discovery in Data Mining

    Skills you'll gain: Data Mining, Big Data, Anomaly Detection, Text Mining, Unstructured Data, Exploratory Data Analysis, Spatial Analysis, Advanced Analytics, Image Analysis, Algorithms, Classification Algorithms, Information Privacy

    4.3
    Rating, 4.3 out of 5 stars
    ·
    326 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    A

    Alfaisal University | KLD

    أساسيات الذكاء الاصطناعي والبيانات الضخمة | AI

    Skills you'll gain: Computer Vision, Natural Language Processing, Robotics, Machine Learning, Big Data, Artificial Intelligence, Supervised Learning, Deep Learning, Reinforcement Learning, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    230 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Data Science Beyond the Basics (ML+DS)

    Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, AWS SageMaker, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, LLM Application, Applied Machine Learning, Deep Learning, A/B Testing, Transfer Learning, Python Programming, Machine Learning, Data Analysis, AWS CloudFormation, AI Personalization

    4.2
    Rating, 4.2 out of 5 stars
    ·
    26 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of California, Davis

    AI for Knowledge Workers

    Skills you'll gain: Prompt Engineering, Generative AI, Anthropic Claude, Responsible AI, ChatGPT, LLM Application, Data Ethics, AI Enablement, Artificial Intelligence, Artificial Neural Networks, Brainstorming, Machine Learning, Deep Learning, Information Privacy

    4.5
    Rating, 4.5 out of 5 stars
    ·
    187 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Icahn School of Medicine at Mount Sinai

    Network Analysis in Systems Biology

    Skills you'll gain: Bioinformatics, Unsupervised Learning, Biostatistics, Biology, Machine Learning Algorithms, Data Processing, Statistical Methods, Systems Engineering, Unix Commands, Linux Commands

    4.5
    Rating, 4.5 out of 5 stars
    ·
    204 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Math for AI beginner part 1 Linear Algebra

    Skills you'll gain: Linear Algebra, Artificial Intelligence, Applied Mathematics, Deep Learning, Machine Learning, Supervised Learning, Mathematical Modeling

    4.4
    Rating, 4.4 out of 5 stars
    ·
    33 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    Inclusive Analytic Techniques

    Skills you'll gain: Data Ethics, Data Collection, Quantitative Research, Qualitative Research, Data Analysis, Statistical Analysis, Analytical Skills, Regression Analysis, Focus Group, Correlation Analysis, Diversity and Inclusion, Research Methodologies, Surveys, Business Analytics, Statistical Inference, Sampling (Statistics), Stakeholder Analysis, Probability, Stakeholder Engagement

    4.8
    Rating, 4.8 out of 5 stars
    ·
    82 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Predictive Modeling, Regression Analysis, Decision Tree Learning, Machine Learning, Scikit Learn (Machine Learning Library), Exploratory Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    26 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Data Analytics and Deep Learning

    Skills you'll gain: NoSQL, Big Data, Model Evaluation, Apache Hadoop, Recurrent Neural Networks (RNNs), Deep Learning, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Apache Spark, Generative AI, Convolutional Neural Networks, Transfer Learning, Data Infrastructure, Data Cleansing, Real Time Data, Apache Kafka, Data Management, Machine Learning

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    40 reviews

    Intermediate · Specialization · 3 - 6 Months

  • D

    Duke University

    Introduction to Retrieval Augmented Generation (RAG)

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, OpenAI API, Data Import/Export, Pandas (Python Package), Generative AI, Application Programming Interface (API), Data Manipulation, Large Language Modeling, Python Programming, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    46 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    N

    New York University

    Fundamentals of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Decision Tree Learning, Machine Learning, Financial Trading, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Regression Analysis, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks

    3.7
    Rating, 3.7 out of 5 stars
    ·
    341 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Learn Python: Scrimba
  • Pattern Discovery in Data Mining: University of Illinois Urbana-Champaign
  • أساسيات الذكاء الاصطناعي والبيانات الضخمة | AI: Alfaisal University | KLD
  • Data Science Beyond the Basics (ML+DS): Coursera
  • AI for Knowledge Workers: University of California, Davis
  • Network Analysis in Systems Biology: Icahn School of Medicine at Mount Sinai
  • Math for AI beginner part 1 Linear Algebra: Korea Advanced Institute of Science and Technology(KAIST)
  • Inclusive Analytic Techniques: University of Toronto
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Data Analytics and Deep Learning: Illinois Tech

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