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  • Naive Bayes Classification Algorithm

Results for "naive bayes classification algorithm"


  • D

    DeepLearning.AI

    Machine Learning in Production

    Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Continuous Deployment, Software Development Life Cycle, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Continuous Monitoring, Data Pipelines

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Machine Learning Projects in R with Caret

    Skills you'll gain: Applied Machine Learning, Unsupervised Learning, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Feature Engineering, Machine Learning, Data Validation, Data Processing, Machine Learning Algorithms, Data Manipulation, Exploratory Data Analysis, Data Integrity, Analysis, Statistical Analysis

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Wesleyan University

    Data Analysis and Interpretation

    Skills you'll gain: Regression Analysis, Data Storytelling, Classification And Regression Tree (CART), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Statistical Software, Correlation Analysis, Exploratory Data Analysis, Data Manipulation, Decision Tree Learning, Data Presentation, Data Management, Data Analysis, Predictive Modeling, Data Visualization, Data Literacy, Statistical Modeling, Machine Learning, Statistics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    C, Go, and C++: A Comprehensive Introduction to Programming

    Skills you'll gain: C++ (Programming Language), Go (Programming Language), Data Structures, C and C++, C (Programming Language), Object Oriented Programming (OOP), Programming Principles, Software Design Patterns, Debugging, Computer Programming, Object Oriented Design, Unit Testing, Integrated Development Environments, Algorithms, Pseudocode, Command-Line Interface, Graph Theory, Computer Science, File Systems, Artificial Intelligence

    4.5
    Rating, 4.5 out of 5 stars
    ·
    9.5K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    D

    Duke University

    Data Modeling and Prediction with R

    Skills you'll gain: Data-Driven Decision-Making, Statistical Modeling, Predictive Modeling, Regression Analysis, R Programming, Data Analysis, Probability & Statistics, Statistical Hypothesis Testing, Statistical Inference, Statistical Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    AI for Medical Prognosis

    Skills you'll gain: Risk Modeling, Decision Tree Learning, Predictive Modeling, Feature Engineering, Applied Machine Learning, Random Forest Algorithm, Forecasting, Data Cleansing, Statistical Modeling, Machine Learning, Statistical Analysis, Probability & Statistics, Data Analysis, Regression Analysis, Deep Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    796 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    AI in Healthcare

    Skills you'll gain: Feature Engineering, Healthcare Ethics, Pharmaceuticals, Data Ethics, Clinical Research, Health Systems, Healthcare Industry Knowledge, Unstructured Data, Health Care, Health Informatics, Data Mining, Managed Care, Responsible AI, Clinical Data Management, Applied Machine Learning, Medical Billing, Electronic Medical Record, Machine Learning, Artificial Intelligence, Clinical Research Ethics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Introduction to AI: Key Concepts and Applications

    Skills you'll gain: Performance Metric, Artificial Intelligence, Strategic Leadership, Responsible AI, Strategic Decision-Making, Data Quality, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning, Algorithms, Artificial Neural Networks, Data Validation, Decision Tree Learning, Random Forest Algorithm, Resource Utilization, System Requirements

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Machine Learning, Machine Learning Methods, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    NoSQL Databases: Analyze & Implement Scalable Systems

    Skills you'll gain: NoSQL, Big Data, Data Pipelines, Databases, Real Time Data, Scalability, Distributed Computing, Data Processing, Database Architecture and Administration, Data Integrity, Machine Learning Algorithms, Machine Learning

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    People Analytics

    Skills you'll gain: People Analytics, Human Capital, Human Resource Strategy, Human Resources, Talent Management, Organizational Effectiveness, Workforce Management, Analytics, Performance Measurement, Employee Performance Management, Data-Driven Decision-Making, Performance Analysis, Network Analysis, Employee Retention, Performance Management, Collaboration, Data Analysis, Predictive Analytics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    6.1K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Cybersecurity Fundamentals

    Skills you'll gain: Encryption, Identity and Access Management, Public Key Infrastructure, Endpoint Security, Cryptography, Network Security, Cybersecurity, Threat Detection, Data Security, Cryptographic Protocols, Cyber Attacks, Advanced Encryption Standard (AES), Secure Coding, Data Encryption Standard, Firewall, Cyber Security Assessment, Computer Security Awareness Training, Cyber Security Strategy, Cyber Security Policies, Computer Security Incident Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.1K reviews

    Beginner · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular naive bayes classification algorithm courses

  • Machine Learning in Production: DeepLearning.AI
  • Machine Learning Projects in R with Caret: EDUCBA
  • Data Analysis and Interpretation: Wesleyan University
  • C, Go, and C++: A Comprehensive Introduction to Programming: University of California, Santa Cruz
  • Data Modeling and Prediction with R: Duke University
  • AI for Medical Prognosis : DeepLearning.AI
  • AI in Healthcare: Stanford University
  • Introduction to AI: Key Concepts and Applications: Johns Hopkins University
  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • NoSQL Databases: Analyze & Implement Scalable Systems: EDUCBA

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