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  • Naive Bayes Classification Algorithm

Results for "naive+bayes+classification+algorithm"


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    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Convolutional Neural Networks, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference

    Build toward a degree

    Intermediate · Specialization · 3 - 6 Months

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    C

    Coursera

    Statistical Inference & Predictive Modeling Foundations

    Skills you'll gain: Descriptive Statistics, A/B Testing, Classification And Regression Tree (CART), Dashboard, Dashboard Creation, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Risk Analysis, Histogram, Statistical Inference, Descriptive Analytics, Simulations, Predictive Modeling, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Making, Decision Tree Learning, Keras (Neural Network Library)

    Intermediate · Specialization · 3 - 6 Months

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    C

    Coursera

    Machine Learning with Scikit-learn, PyTorch & Hugging Face

    Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Model Optimization, Convolutional Neural Networks, Model Deployment, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning Software

    4.4
    Rating, 4.4 out of 5 stars
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    28 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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    U

    University of California, Santa Cruz

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Time Series Analysis and Forecasting, Statistical Inference, Statistical Methods, R Programming, Forecasting, Statistical Programming, Probability & Statistics, Statistical Modeling, Technical Communication, Data Presentation, Probability, Statistics, Statistical Analysis, Statistical Reporting, Statistical Software, Probability Distribution, Data Analysis, Markov Model, Data Science

    4.6
    Rating, 4.6 out of 5 stars
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    3.5K reviews

    Intermediate · Specialization · 3 - 6 Months

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    U

    University of Illinois Urbana-Champaign

    Data Mining

    Skills you'll gain: Data Visualization, Data Visualization Software, Text Mining, Data Presentation, Data Mining, Dashboard, Tableau Software, Plot (Graphics), Dashboard Creation, Natural Language Processing, Unsupervised Learning, Data Mapping, Unstructured Data, Statistical Analysis, Graphing, Big Data, Data-Driven Decision-Making, Analytics, Data Analysis, Statistical Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
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    2.9K reviews

    Intermediate · Specialization · 3 - 6 Months

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    C

    Coursera

    Probabilistic Graphical Models: A Compact Introduction

    Skills you'll gain: Bayesian Network, Bayesian Statistics, Network Model, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Markov Model, Statistical Modeling, Statistical Inference, Graph Theory, Probability & Statistics, Sampling (Statistics), Algorithms

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Foundations of Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Model Training, Machine Learning Methods, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Machine Learning Software, Dimensionality Reduction, Machine Learning, Predictive Modeling, Data Wrangling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting

    4.5
    Rating, 4.5 out of 5 stars
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    15 reviews

    Intermediate · Course · 1 - 4 Weeks

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    V

    Vanderbilt University

    From Data To Decision With AI

    Skills you'll gain: Data Storytelling, Statistical Methods, Data Literacy, Regression Analysis, Generative AI, Descriptive Analytics, Statistical Analysis, Statistical Reporting, AI literacy, Data-Driven Decision-Making, Correlation Analysis, Technical Communication, Data Visualization, Probability & Statistics, Data Analysis, Exploratory Data Analysis, Statistical Visualization, Scatter Plots, Descriptive Statistics, Statistical Hypothesis Testing

    4.7
    Rating, 4.7 out of 5 stars
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    36 reviews

    Beginner · Specialization · 1 - 3 Months

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    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning Algorithms, Decision Tree Learning, Applied Machine Learning, Model Training, Statistical Machine Learning, Predictive Modeling, Business Logic, Machine Learning Methods, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Regression Analysis, Random Forest Algorithm, Model Optimization, Sampling (Statistics)

    4.8
    Rating, 4.8 out of 5 stars
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    459 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    I

    IBM

    Unsupervised Machine Learning

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Applied Machine Learning, Data Preprocessing, Machine Learning Methods, Text Mining, Machine Learning, Big Data, Model Evaluation, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
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    364 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    Machine Learning with R

    Skills you'll gain: Model Evaluation, Classification Algorithms, R Programming, Apache Spark, Deep Learning, Applied Machine Learning, Data Wrangling, Keras (Neural Network Library), Unsupervised Learning, Model Training, Statistical Machine Learning, Data Manipulation, Machine Learning Methods, Machine Learning Algorithms, Data Science, Machine Learning, Tidyverse (R Package), Data Analysis, Bayesian Network, Logistic Regression

    Intermediate · Course · 3 - 6 Months

  • Status: New
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    E

    Edureka

    Applied Machine Learning Without Coding

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Data Science, Statistical Modeling, Predictive Modeling, Machine Learning Methods, Exploratory Data Analysis, Machine Learning, Data Analysis, Applied Machine Learning, Machine Learning Software, Feature Engineering, Random Forest Algorithm, Supervised Learning, Logistic Regression, Data Processing, Model Optimization, Data Manipulation, Data Visualization

    Intermediate · Course · 1 - 4 Weeks

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

  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
  • Statistical Inference & Predictive Modeling Foundations: Coursera
  • Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
  • Bayesian Statistics: University of California, Santa Cruz
  • Data Mining: University of Illinois Urbana-Champaign
  • Probabilistic Graphical Models: A Compact Introduction: Coursera
  • Foundations of Machine Learning: Coursera
  • From Data To Decision With AI: Vanderbilt University
  • Supervised Machine Learning: Classification: IBM
  • Unsupervised Machine Learning: IBM

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