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  • Naive Bayes Classification Algorithm

Results for "naive bayes classification algorithm"


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    C

    Coursera

    TikTok Insights: Crack the Algorithm

    Skills you'll gain: TikTok, Video Production, Content Strategy, Social Media Content, Content Performance Analysis, Content Creation, Drive Engagement, Social Media Strategy, Social Media

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Trees, SVM and Unsupervised Learning

    Skills you'll gain: Applied Machine Learning, Supervised Learning, Data Science, Artificial Neural Networks, Dimensionality Reduction, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Machine Learning, Predictive Modeling, Random Forest Algorithm, Statistics

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
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    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Machine Learning: Random Forest with Python from Scratch©

    Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Predictive Analytics, Machine Learning Algorithms, Data Visualization, Machine Learning, Programming Principles, Data Manipulation, Feature Engineering, Data Cleansing, Supervised Learning, Python Programming, Data Science, Data Processing, NumPy, Pandas (Python Package)

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Regression and Classification

    Skills you'll gain: Statistical Modeling, Data Science, Statistical Methods, Classification And Regression Tree (CART), Statistical Analysis, Regression Analysis, Predictive Modeling, R Programming, Statistical Inference, Machine Learning, Supervised Learning, Unsupervised Learning, Machine Learning Algorithms

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
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    15 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Machine Learning and Emerging Technologies in Cybersecurity

    Skills you'll gain: Intrusion Detection and Prevention, Threat Detection, Computer Security Incident Management, Cybersecurity, Applied Machine Learning, Network Security, Machine Learning Algorithms, Machine Learning, Machine Learning Software, Unsupervised Learning, Supervised Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Unsupervised Machine Learning

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Machine Learning, Text Mining, Data Mining, Data Science, Big Data, NumPy, Data Analysis, Algorithms, Natural Language Processing, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
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    351 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    DeepLearning.AI

    Natural Language Processing with Classification and Vector Spaces

    Skills you'll gain: Natural Language Processing, Supervised Learning, Dimensionality Reduction, Text Mining, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence, Tensorflow, Unstructured Data, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
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    4.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    University of Michigan

    Data Mining in Python

    Skills you'll gain: Data Mining, Data Processing, Unsupervised Learning, Data Science, Anomaly Detection, Data Manipulation, Machine Learning Methods, Python Programming

    Advanced · Course · 1 - 4 Weeks

  • Status: New
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    Simplilearn

    Introduction Course to Autoencoders, VAEs, and GANs

    Skills you'll gain: Generative AI, Generative Model Architectures, Deep Learning, Tensorflow, Applied Machine Learning, Artificial Neural Networks, Unsupervised Learning, Image Quality

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Exploratory Data Analysis & Core ML Algorithms

    Skills you'll gain: Exploratory Data Analysis, Classification And Regression Tree (CART), Predictive Modeling, Data Analysis, Regression Analysis, Supervised Learning, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Data Cleansing, Bayesian Network, Performance Tuning

    Intermediate · Course · 1 - 3 Months

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    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Statistical Programming, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Probability & Statistics, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Unsupervised Algorithms in Machine Learning

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Machine Learning Algorithms, Data Science, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Data Mining, Python Programming, Linear Algebra, NumPy, Algorithms, Exploratory Data Analysis

    Build toward a degree

    3.8
    Rating, 3.8 out of 5 stars
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    22 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • TikTok Insights: Crack the Algorithm: Coursera
  • Trees, SVM and Unsupervised Learning: University of Colorado Boulder
  • Machine Learning: Random Forest with Python from Scratch©: Packt
  • Regression and Classification: University of Colorado Boulder
  • Machine Learning and Emerging Technologies in Cybersecurity: Johns Hopkins University
  • Unsupervised Machine Learning: IBM
  • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
  • Data Mining in Python: University of Michigan
  • Introduction Course to Autoencoders, VAEs, and GANs: Simplilearn
  • Exploratory Data Analysis & Core ML Algorithms: Packt

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