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  • Statistical Classification

Results for "statistical classification"


  • G

    Google Cloud

    Hands-on Foundations for Data Science and Machine Learning with Google Cloud Labs

    Skills you'll gain: Data Warehousing, Google Cloud Platform, Big Data, Model Evaluation, Apache Spark, Database Management, Data Integration, SQL, Data Pipelines, Metadata Management, Data Management, Real Time Data, Tensorflow, Data Science, Command-Line Interface, Applied Machine Learning, Cloud-Based Integration, Apache Hadoop, Query Languages, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    125 reviews

    Intermediate · Specialization · 1 - 3 Months

  • J

    Johns Hopkins University

    Publishing Visualizations in R with Shiny and flexdashboard

    Skills you'll gain: Shiny (R Package), Dashboard, Ggplot2, Interactive Data Visualization, Data Visualization Software, Data Presentation, Application Development, Data Sharing, UI Components, Application Deployment

    4.9
    Rating, 4.9 out of 5 stars
    ·
    72 reviews

    Mixed · Course · 1 - 4 Weeks

  • E

    Edureka

    Python and Statistics Foundations

    Skills you'll gain: Matplotlib, Data Visualization, Probability & Statistics, Plotly, Statistical Analysis, Data Visualization Software, Statistical Hypothesis Testing, Seaborn, Data Science, Programming Principles, Pandas (Python Package), Statistics, Descriptive Statistics, Data Analysis, NumPy, Probability Distribution, Exploratory Data Analysis, Python Programming

    Beginner · Course · 1 - 4 Weeks

  • I

    Imperial College London

    Using Data for Healthcare Improvement

    Skills you'll gain: Run Chart, Qualitative Research, Continuous Quality Improvement (CQI), Health Informatics, Quantitative Research, Data Collection, Data-Driven Decision-Making, Statistical Methods, Data Analysis, Systems Of Measurement, Time Series Analysis and Forecasting

    4.8
    Rating, 4.8 out of 5 stars
    ·
    49 reviews

    Beginner · Course · 1 - 4 Weeks

  • M

    Microsoft

    Getting started with generative AI in Azure

    Skills you'll gain: Prompt Engineering, Generative AI, Responsible AI, Data Ethics, AI Enablement, Artificial Intelligence, LLM Application, Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), Application Development, Application Design, Machine Learning, API Design, Model Evaluation, Deep Learning

    Intermediate · Course · 1 - 4 Weeks

  • K

    Khalifa University

    AI for Executives: The Basics

    Skills you'll gain: Data Strategy, Model Deployment, Data Governance, Model Evaluation, Transfer Learning, Data Quality, Data-Driven Decision-Making, Business Leadership, Predictive Analytics, Machine Learning, Strategic Decision-Making, Artificial Intelligence, Large Language Modeling, Classification Algorithms, Regression Analysis, Decision Tree Learning

    Beginner · Course · 1 - 3 Months

  • U

    University of Michigan

    Prediction Models with Sports Data

    Skills you'll gain: Logistic Regression, Forecasting, Data Processing, Predictive Modeling, Statistical Modeling, Data Analysis, Analytics, Regression Analysis, Pandas (Python Package), Model Evaluation, Python Programming, Probability, Ethical Standards And Conduct

    4.5
    Rating, 4.5 out of 5 stars
    ·
    41 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Predictive Modeling, Regression Analysis, Decision Tree Learning, Machine Learning, Scikit Learn (Machine Learning Library), Exploratory Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    27 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • U

    University of London

    모두를 위한 머신 러닝

    Skills you'll gain: Applied Machine Learning, Model Evaluation, Artificial Intelligence, Machine Learning, Computer Vision, Data Preprocessing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Discrete-Time Markov Chains and Monte Carlo Methods

    Skills you'll gain: Artificial Intelligence, Generative AI, Machine Learning Algorithms, Mathematical Theory & Analysis

    Build toward a degree

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado System

    Regression Modeling for Marketers

    Skills you'll gain: Statistical Software, Marketing Analytics, Model Evaluation, Regression Analysis, Statistical Modeling, Data Visualization, Statistical Analysis, Advanced Analytics, Strategic Marketing, Market Analysis, Marketing Effectiveness, Predictive Analytics, Marketing Strategies, Predictive Modeling, Logistic Regression, Customer Insights, Target Market, Statistical Hypothesis Testing, A/B Testing, Variance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Unlocking Business Insights through Storytelling with Data

    Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Data Visualization Software, Storytelling, Infographics, Data Integrity, Statistical Visualization, Drive Engagement, Presentations, Microsoft Excel, Design Elements And Principles

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Hands-on Foundations for Data Science and Machine Learning with Google Cloud Labs: Google Cloud
  • Publishing Visualizations in R with Shiny and flexdashboard: Johns Hopkins University
  • Python and Statistics Foundations: Edureka
  • Using Data for Healthcare Improvement: Imperial College London
  • Getting started with generative AI in Azure: Microsoft
  • AI for Executives: The Basics: Khalifa University
  • Prediction Models with Sports Data: University of Michigan
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • 모두를 위한 머신 러닝: University of London
  • Discrete-Time Markov Chains and Monte Carlo Methods: University of Colorado Boulder

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