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  • Statistical Classification

Results for "statistical classification"


  • Status: Free Trial
    Free Trial
    H

    Howard University

    Linear Algebra for Data Science Using Python

    Skills you'll gain: Data Wrangling, Linear Algebra, Regression Analysis, Data Manipulation, NumPy, Predictive Modeling, Dimensionality Reduction, Data Science, Applied Mathematics, Statistical Modeling, Mathematical Software, Supervised Learning, Algebra, Data Visualization Software, Jupyter, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Numerical Analysis, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    32 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Cloud Management, DevOps, Continuous Deployment, CI/CD, Machine Learning, Automation, Data Pipelines, Version Control

    4
    Rating, 4 out of 5 stars
    ·
    476 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Tidyverse Skills for Data Science in R

    Skills you'll gain: Tidyverse (R Package), Ggplot2, Data Wrangling, Exploratory Data Analysis, Plot (Graphics), R Programming, Data Import/Export, Predictive Modeling, Data Visualization, Data Visualization Software, Statistical Hypothesis Testing, Data Analysis, Data Manipulation, Data Modeling, Regression Analysis, Web Scraping, Data Presentation, Data Science, R (Software), Data Analysis Software

    4.5
    Rating, 4.5 out of 5 stars
    ·
    109 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Moneyball and Beyond

    Skills you'll gain: Analytics, Data Analysis, Statistical Analysis, Probability & Statistics, Statistics, Python Programming, Data Manipulation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    53 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Developing the SIR Model

    Skills you'll gain: Epidemiology, Infectious Diseases, Mathematical Modeling, Public Health, R Programming, Differential Equations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    273 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    How Science Turns Data Into Knowledge

    Skills you'll gain: Data Literacy, Statistical Hypothesis Testing, Scientific Methods, Data Analysis, Experimentation, Research Design, Research, Peer Review, Probability & Statistics, Statistical Inference, Statistical Methods, Media and Communications

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    How to Describe Data

    Skills you'll gain: Histogram, Data Visualization, Data Literacy, Data Presentation, Descriptive Statistics, Data Storytelling, Statistics, Data Analysis, Statistical Visualization, Sampling (Statistics), Data Validation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    24 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Interventions and Calibration

    Skills you'll gain: Mathematical Modeling, Epidemiology, Infectious Diseases, Statistical Modeling, Data Modeling, R Programming, Differential Equations, Statistical Methods, Public Health, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    56 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    I

    Illinois Tech

    Predictive Analytics

    Skills you'll gain: Machine Learning Algorithms, Predictive Analytics, Data Cleansing, Unsupervised Learning, Data Analysis, Statistical Machine Learning, Data Mining, Supervised Learning, Machine Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    U

    University of Alberta

    Science Literacy

    Skills you'll gain: Scientific Methods, Science and Research, General Science and Research, Research Methodologies, Research, Research Design, Deductive Reasoning, Peer Review, Experimentation, Media and Communications, Correlation Analysis, Journalism, Statistical Analysis, Probability & Statistics, Cultural Diversity, Descriptive Statistics, Communication

    4.4
    Rating, 4.4 out of 5 stars
    ·
    268 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Machine Learning for Computer Vision

    Skills you'll gain: Computer Vision, Image Analysis, Matlab, Applied Machine Learning, Machine Learning, Supervised Learning, Predictive Modeling, Visualization (Computer Graphics), Data Validation, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Getting started with TensorFlow 2

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Program Development, Data Validation, Applied Machine Learning, Supervised Learning, Predictive Modeling, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Jupyter, Application Programming Interface (API)

    4.9
    Rating, 4.9 out of 5 stars
    ·
    580 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Linear Algebra for Data Science Using Python: Howard University
  • Machine Learning Operations (MLOps): Getting Started: Google Cloud
  • Tidyverse Skills for Data Science in R: Johns Hopkins University
  • Moneyball and Beyond: University of Michigan
  • Developing the SIR Model: Imperial College London
  • How Science Turns Data Into Knowledge: University of Michigan
  • How to Describe Data: University of Michigan
  • Interventions and Calibration: Imperial College London
  • Predictive Analytics: Illinois Tech
  • Science Literacy : University of Alberta

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