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  • Statistical Classification


Results for "statistical classification"


  • Status: Free Trial
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    K

    Kennesaw State University

    Six Sigma Advanced Improve and Control Phases

    Skills you'll gain: Statistical Process Controls, Root Cause Analysis, Lean Methodologies, Process Capability, Quality Control, Six Sigma Methodology, Process Analysis, Lean Six Sigma, Process Improvement, Continuous Improvement Process, Operational Efficiency, Waste Minimization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    783 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Computer Vision in Microsoft Azure

    Skills you'll gain: Image Analysis, Computer Vision, Artificial Intelligence, Microsoft Azure, Data Capture, Model Deployment, Text Mining, Classification Algorithms, Document Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    129 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Everyday Excel, Part 2

    Skills you'll gain: Regression Analysis, Microsoft Excel, Statistical Modeling, Excel Formulas, Financial Analysis, Predictive Modeling, Data Management, Financial Modeling, Data Analysis Expressions (DAX), Financial Forecasting, Process Optimization, Problem Solving

    4.7
    Rating, 4.7 out of 5 stars
    ·
    571 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Machine Learning and its Applications

    Skills you'll gain: Data Preprocessing, Model Evaluation, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML)

    5
    Rating, 5 out of 5 stars
    ·
    47 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Molecular Evolution (Bioinformatics IV)

    Skills you'll gain: Bioinformatics, Statistical Analysis, Graph Theory, Taxonomy

    4.5
    Rating, 4.5 out of 5 stars
    ·
    79 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    90 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    J

    Johns Hopkins University

    The R Programming Environment

    Skills you'll gain: Tidyverse (R Package), Web Scraping, Data Manipulation, R Programming, Data Transformation, Data Cleansing, Big Data, Statistical Programming, Text Mining, Data Import/Export, Data Analysis, Data Structures, Performance Tuning, Application Programming Interface (API)

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Machine Learning Using SAS Viya

    Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Supervised Learning, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Business Analysis, Artificial Neural Networks, Classification Algorithms, No-Code Development, Statistical Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    102 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data – What It Is, What We Can Do With It

    Skills you'll gain: Data Literacy, Data Visualization, Data Analysis, Research Design, Descriptive Statistics, Analytics, Analysis, Statistics, Quantitative Research, Statistical Methods, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    182 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    A

    Automatic Data Processing, Inc. (ADP)

    Payroll and Tax Fundamentals

    Skills you'll gain: Payroll, Payroll Reporting, Payroll Processing, Payroll Administration, Payroll Tax, Labor Law, Tax Preparation, Labor Compliance, Income Tax, Compensation and Benefits, Tax Compliance, Employee Onboarding

    4.8
    Rating, 4.8 out of 5 stars
    ·
    145 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Geneva

    Portfolio and Risk Management

    Skills you'll gain: Portfolio Management, Risk Management, Portfolio Risk, Business Risk Management, Investment Management, Risk Analysis, Investments, Risk Modeling, Asset Management, Wealth Management, Financial Market, Finance, Derivatives, Equities, Probability Distribution, Market Dynamics, Correlation Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.5K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Measurement – Turning Concepts into Data

    Skills you'll gain: Survey Creation, Sampling (Statistics), Quantitative Research, Research Methodologies, Data Analysis, Data Quality, Research Design, Model Evaluation, Data Transformation, Statistical Analysis, Data Modeling, Statistical Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    82 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular statistical classification courses

  • Six Sigma Advanced Improve and Control Phases: Kennesaw State University
  • Computer Vision in Microsoft Azure: Microsoft
  • Everyday Excel, Part 2: University of Colorado Boulder
  • Machine Learning and its Applications: University of Glasgow
  • Molecular Evolution (Bioinformatics IV): University of California San Diego
  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
  • The R Programming Environment: Johns Hopkins University
  • Machine Learning Using SAS Viya: SAS
  • Data – What It Is, What We Can Do With It: Johns Hopkins University
  • Payroll and Tax Fundamentals: Automatic Data Processing, Inc. (ADP)

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