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    • Naive Bayes Classification Algorithm
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    Results for "naive bayes classification algorithm"

    • Status: New
      New
      D

      Duke University

      Programming for Python Data Science: Principles to Practice

      Skills you'll gain: Matplotlib, Pandas (Python Package), Computational Thinking, Predictive Modeling, Data Cleansing, Data Visualization Software, Visualization (Computer Graphics), Data Structures, Debugging, NumPy, Data Manipulation, Regression Analysis, Data Analysis, Python Programming, Algorithms, Simulations, Statistical Methods, Program Development, Data Science, Object Oriented Programming (OOP)

      3.8
      Rating, 3.8 out of 5 stars
      ·
      65 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Applied Social Network Analysis in Python

      Skills you'll gain: Network Analysis, Network Model, Graph Theory, Data Analysis, Predictive Analytics, Exploratory Data Analysis, Applied Machine Learning, Unsupervised Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.7K reviews

      Intermediate · Course · 1 - 4 Weeks

    • R

      Rice University

      Parallel Programming in Java

      Skills you'll gain: Java Programming, Java, Distributed Computing, Programming Principles, Object Oriented Programming (OOP), Application Frameworks, Computer Programming, Algorithms, Performance Tuning, Functional Design, Scalability, Computer Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • M

      MathWorks

      Practical Data Science with MATLAB

      Skills you'll gain: Data Storytelling, Feature Engineering, Supervised Learning, Dimensionality Reduction, Data Integration, Interactive Data Visualization, Exploratory Data Analysis, Data Import/Export, Technical Communication, Data Analysis, Applied Machine Learning, Data Visualization Software, Matlab, Regression Analysis, Data Processing, Descriptive Statistics, Data Cleansing, Predictive Modeling, Classification And Regression Tree (CART), Data Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of California, Santa Cruz

      Bayesian Statistics: Mixture Models

      Skills you'll gain: R Programming, Statistical Modeling, Bayesian Statistics, Statistical Machine Learning, Markov Model, Statistical Methods, Probability & Statistics, Unsupervised Learning, Statistical Inference, Probability Distribution, Machine Learning Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      60 reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Developing Data Products

      Skills you'll gain: Shiny (R Package), Rmarkdown, Leaflet (Software), Plotly, Interactive Data Visualization, Data Visualization, Data Presentation, Data Visualization Software, R Programming, Statistical Reporting, UI Components, Web Applications, Hypertext Markup Language (HTML), GitHub, Package and Software Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.3K reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Colorado System

      Introduction to Applied Cryptography

      Skills you'll gain: Data Encryption Standard, Public Key Infrastructure, Cryptography, Cybersecurity, Public Key Cryptography Standards (PKCS), Key Management, Advanced Encryption Standard (AES), Encryption, Cryptographic Protocols, Authentications, Arithmetic, Algorithms, Applied Mathematics, Data Integrity, Probability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      985 reviews

      Beginner · Specialization · 3 - 6 Months

    • L

      LearnQuest

      Developing AI Applications on Azure

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Microsoft Azure, Artificial Intelligence, Applied Machine Learning, Python Programming, Machine Learning, Machine Learning Algorithms, Data Science, Image Analysis, Computer Vision, Application Deployment, Application Programming Interface (API)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      976 reviews

      Advanced · Course · 1 - 3 Months

    • D

      Dartmouth College

      C Programming with Linux

      Skills you'll gain: Command-Line Interface, C (Programming Language), Linux Commands, Embedded Systems, Programming Principles, Computer Engineering, Embedded Software, Linux, File Systems, Engineering Software, Build Tools, Data Structures, Unix, Program Development, Algorithms, Operating Systems, System Programming, Computer Programming, Software Installation, Software Documentation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      396 reviews

      Beginner · Specialization · 3 - 6 Months

    • A

      Alberta Machine Intelligence Institute

      Machine Learning Algorithms: Supervised Learning Tip to Tail

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Jupyter, Statistical Machine Learning, Decision Tree Learning, Machine Learning, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Performance Measurement, Data Processing, Process Optimization, Data Transformation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      413 reviews

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Build a Machine Learning Web App with Streamlit and Python

      Skills you'll gain: Machine Learning Algorithms, Dashboard, Interactive Data Visualization, Data Visualization Software, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Web Applications, Predictive Modeling, Classification And Regression Tree (CART), Python Programming, Application Development, Pandas (Python Package)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      403 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Michigan

      The Finite Element Method for Problems in Physics

      Skills you'll gain: Finite Element Methods, Differential Equations, Engineering Analysis, Numerical Analysis, Mathematical Modeling, Advanced Mathematics, Linear Algebra, C++ (Programming Language), Object Oriented Programming (OOP), Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      551 reviews

      Intermediate · Course · 3 - 6 Months

    1…272829…162

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

    • Programming for Python Data Science: Principles to Practice: Duke University
    • Applied Social Network Analysis in Python: University of Michigan
    • Parallel Programming in Java: Rice University
    • Practical Data Science with MATLAB: MathWorks
    • Bayesian Statistics: Mixture Models: University of California, Santa Cruz
    • Developing Data Products: Johns Hopkins University
    • Introduction to Applied Cryptography: University of Colorado System
    • Developing AI Applications on Azure: LearnQuest
    • C Programming with Linux: Dartmouth College
    • Machine Learning Algorithms: Supervised Learning Tip to Tail: Alberta Machine Intelligence Institute

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