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  • Random Forest Algorithm

Results for "random forest algorithm"


  • Status: Free
    Free
    C

    Coursera

    Transfer Learning for NLP with TensorFlow Hub

    Skills you'll gain: Transfer Learning, Fine-tuning, Tensorflow, Natural Language Processing, Keras (Neural Network Library), Embeddings, Model Training, Deep Learning, Classification Algorithms, Model Evaluation, Machine Learning, Software Visualization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    182 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    N

    Northwestern University

    Modern Robotics, Course 4: Robot Motion Planning and Control

    Skills you'll gain: Machine Controls, Robotics, Control Systems, Process Control, Graph Theory, Algorithms, Virtual Environment, Simulation and Simulation Software, Mathematical Modeling, Data Structures, Torque (Physics)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    140 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Data Analytics and Deep Learning

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

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    41 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Foundations of Coding Back-End

    Skills you'll gain: Back-End Web Development, Program Development, Algorithms, Programming Principles, Debugging, Computational Thinking, Diagram Design, C# (Programming Language), Code Reusability, Version Control, GitHub, Git (Version Control System), Computational Logic, Microsoft Copilot

    4.6
    Rating, 4.6 out of 5 stars
    ·
    128 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Deep Learning with PyTorch : Generative Adversarial Network

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Deep Learning, Convolutional Neural Networks, Model Training, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    100 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Columbia University

    Camera and Imaging

    Skills you'll gain: Image Quality, Image Analysis, Computer Vision, Photography, Color Theory, Digital Signal Processing, Semiconductors, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    162 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Applied AI for Engineers and Scientists: Foundations

    Skills you'll gain: Model Training, Model Evaluation, Matlab, Data Preprocessing, Model Optimization, Scientific Visualization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Statistical Methods, Machine Learning Software, Mathematical Software, Statistical Machine Learning, Data Wrangling, Applied Mathematics, Data Validation, Mathematical Modeling, Artificial Neural Networks, Engineering Analysis, Engineering Design Process, Decision Support Systems

    5
    Rating, 5 out of 5 stars
    ·
    143 reviews

    Beginner · Specialization · 1 - 3 Months

  • C

    Coursera

    Sentiment Analysis with Deep Learning using BERT

    Skills you'll gain: Model Optimization, Model Evaluation, Large Language Modeling, Data Preprocessing, Model Training, Fine-tuning, Data Cleansing, PyTorch (Machine Learning Library), Transfer Learning, Deep Learning, Natural Language Processing, Exploratory Data Analysis, Test Data, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    398 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Peking University

    算法基础

    Skills you'll gain: Algorithms, Computer Programming, Computational Thinking, Graph Theory

    4.8
    Rating, 4.8 out of 5 stars
    ·
    321 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Introduction to Automated Analysis

    Skills you'll gain: Test Automation, Regression Testing, Software Testing, Software Development Tools, Test Tools, Computer Programming Tools, White-Box Testing, Code Coverage, Security Testing, Verification And Validation, Test Case, Test Data, Automation, Functional Requirement, Application Security, Vulnerability Scanning, Continuous Monitoring

    4.2
    Rating, 4.2 out of 5 stars
    ·
    87 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Universidad Nacional de Colombia

    Programación con Python, nivel básico

    Skills you'll gain: Programming Principles, Debugging, Computational Thinking, Computer Programming, Arithmetic, Algorithms, Code Reusability, Program Development, Computational Logic, Python Programming, Functional Design, Mathematical Software

    4.9
    Rating, 4.9 out of 5 stars
    ·
    37 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Predictive Modeling with Logistic Regression using SAS

    Skills you'll gain: Predictive Modeling, SAS (Software), Logistic Regression, Model Evaluation, Predictive Analytics, Statistical Modeling, Model Training, Statistical Software, Regression Analysis, Business Analytics, Supervised Learning, Statistical Analysis, Data Preprocessing, Statistical Methods, Feature Engineering, Sampling (Statistics)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    63 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Transfer Learning for NLP with TensorFlow Hub: Coursera
  • Modern Robotics, Course 4: Robot Motion Planning and Control: Northwestern University
  • Data Analytics and Deep Learning: Illinois Tech
  • Foundations of Coding Back-End: Microsoft
  • Deep Learning with PyTorch : Generative Adversarial Network: Coursera
  • Camera and Imaging: Columbia University
  • Applied AI for Engineers and Scientists: Foundations: University of Glasgow
  • Sentiment Analysis with Deep Learning using BERT: Coursera
  • 算法基础: Peking University
  • Introduction to Automated Analysis: University of Minnesota

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