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  • Random Forest Algorithm

Results for "random forest algorithm"


  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Regression

    Skills you'll gain: Regression Analysis, Model Evaluation, Predictive Modeling, Supervised Learning, Statistical Modeling, Feature Engineering, Machine Learning, Data Preprocessing, Python Programming, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.6K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Indian School of Business

    Trading Algorithms

    Skills you'll gain: Financial Trading, Financial Analysis, Financial Statement Analysis, Financial Market, Market Trend, Market Dynamics, Analysis, Equities, Decision Making

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Generating Creative Images With DALL-E 3

    Skills you'll gain: Prompt Engineering, Generative AI, AI Workflows, OpenAI, Responsible AI, Data Ethics, Artificial Intelligence, Creative Design, Image Quality, Design, Digital Design, Graphic Design, Machine Learning

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Number Theory and Cryptography

    Skills you'll gain: Cryptography, Encryption, Public Key Cryptography Standards (PKCS), Cybersecurity, Arithmetic, Algorithms, Theoretical Computer Science, Computational Thinking, Algebra, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    608 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Advanced Data Analytics Capstone

    Skills you'll gain: Data Visualization, Regression Analysis, Data Storytelling, Advanced Analytics, Statistical Analysis, Data Analysis, Business Analysis, Exploratory Data Analysis, Python Programming, Machine Learning Methods, Artificial Intelligence, Machine Learning, Portfolio Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 4 Weeks

  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Transfer Learning, Model Evaluation, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Visualization (Computer Graphics), Deep Learning, Feature Engineering, Network Architecture

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.4K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    I

    Illinois Tech

    AI Integration in Healthcare Patient Data

    Skills you'll gain: Clinical Informatics, Data Ethics, Health Informatics, Responsible AI, Electronic Medical Record System, Health Care, Health Technology, Clinical Data Management, Healthcare Ethics, Artificial Intelligence, Natural Language Processing, Decision Support Systems, Machine Learning, Data Quality, Generative AI

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Ordered Data Structures

    Skills you'll gain: Data Structures, Data Storage, Algorithms, Data Storage Technologies, Database Systems, Database Theory, Theoretical Computer Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    922 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Exploratory Data Analysis for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Methods, Data Preprocessing, Statistical Inference, Statistical Hypothesis Testing, Data Access, Anomaly Detection, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Machine Learning, Probability & Statistics, Jupyter, Data Import/Export, Pandas (Python Package), Data Transformation, Data Quality

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.5K reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Exploratory Data Analysis, Machine Learning, Classification Algorithms, Random Forest Algorithm, Statistical Visualization, Responsible AI

    4.8
    Rating, 4.8 out of 5 stars
    ·
    16 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    S

    Stanford University

    Social and Economic Networks: Models and Analysis

    Skills you'll gain: Social Network Analysis, Network Analysis, Sociology, Socioeconomics, Economics, Policy, and Social Studies, Game Theory, Mathematical Modeling, Statistical Modeling, Markov Model, Bayesian Statistics, Probability, Simulations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    758 reviews

    Advanced · Course · 1 - 3 Months

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

    Coursera

    Secure Mobile AI Models Against Attacks

    Skills you'll gain: AI Security, Mobile Security, Model Deployment, Mobile Development, Continuous Monitoring, Application Security, Threat Modeling, Apple iOS, Security Requirements Analysis, System Monitoring, Encryption, Threat Management, Security Management, Information Privacy, Program Implementation

    Intermediate · Course · 1 - 4 Weeks

1…323334…176

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

  • Machine Learning: Regression: University of Washington
  • Trading Algorithms: Indian School of Business
  • Generating Creative Images With DALL-E 3: Packt
  • Number Theory and Cryptography: University of California San Diego
  • Google Advanced Data Analytics Capstone: Google
  • Introduction to Computer Vision and Image Processing: IBM
  • AI Integration in Healthcare Patient Data: Illinois Tech
  • Ordered Data Structures: University of Illinois Urbana-Champaign
  • Exploratory Data Analysis for Machine Learning: IBM
  • Interpretable Machine Learning Applications: Part 4: Coursera

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