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  • Naive Bayes Classification Algorithm

Results for "naive bayes classification algorithm"


  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Predictive Modeling, Natural Language Processing, Text Mining, Python Programming, Data Mining

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    D

    DeepLearning.AI

    Neural Networks and Deep Learning

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Machine Learning, Python Programming, Linear Algebra, Calculus

    4.9
    Rating, 4.9 out of 5 stars
    ·
    124K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Applied Data Science

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Dashboard, Data Visualization Software, Plotly, Data Visualization, Interactive Data Visualization, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Pandas (Python Package), Data Presentation, Predictive Modeling, Data Science, Data Import/Export, Programming Principles, Web Scraping, Python Programming, Machine Learning

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    61K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Natural Language Processing, Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
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    G

    Google

    Assets, Threats, and Vulnerabilities

    Skills you'll gain: Threat Modeling, Threat Management, Vulnerability Management, Cyber Threat Intelligence, Cybersecurity, Cyber Attacks, Vulnerability Assessments, Threat Detection, MITRE ATT&CK Framework, Data Security, Cyber Risk, NIST 800-53, Authorization (Computing), Malware Protection, Authentications, Security Strategy, Security Controls, Risk Management Framework, Identity and Access Management, Cryptography

    4.8
    Rating, 4.8 out of 5 stars
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    4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Stanford University

    Game Theory

    Skills you'll gain: Game Theory, Strategic Decision-Making, Mathematical Modeling, Graph Theory, Bayesian Statistics, Behavioral Economics, Probability, Economics, Problem Solving, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    I

    IBM

    Generative AI for UI UX Design

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Design Research, Persona (User Experience), User Interface and User Experience (UI/UX) Design, Experience Design, AI Product Strategy, User Interface (UI) Design, Brainstorming, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Large Language Modeling, Human Centered Design, User Story, Wireframing, Deep Learning, Ideation, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Educators

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, AI Personalization, Responsible AI, Data Ethics, Education Software and Technology, Lesson Planning, Education and Training, OpenAI, Differentiated Instruction, AI Product Strategy, Curriculum Planning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Instructional Design, Deep Learning, Ethical Standards And Conduct, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Introduction to Probability and Data with R

    Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Descriptive Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.8K reviews

    Beginner · Course · 1 - 3 Months

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

    EDUCBA

    Machine Learning with Python: Diabetes Prediction

    Skills you'll gain: Jupyter, Data Transformation, Health Informatics, Applied Machine Learning, Machine Learning, Data Processing, Predictive Modeling, Scikit Learn (Machine Learning Library), NumPy, Predictive Analytics, Analytics, Supervised Learning, Pandas (Python Package), Software Installation

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    What is Data Science?

    Skills you'll gain: Data Literacy, Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Deep Learning, Machine Learning, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
    ·
    77K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 3 Months

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

  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Neural Networks and Deep Learning: DeepLearning.AI
  • Applied Data Science: IBM
  • Probabilistic Graphical Models: Stanford University
  • Assets, Threats, and Vulnerabilities: Google
  • Game Theory: Stanford University
  • Generative AI for UI UX Design: IBM
  • Generative AI for Educators: IBM
  • Introduction to Probability and Data with R: Duke University
  • Machine Learning with Python: Diabetes Prediction: EDUCBA

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