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  • Statistical Classification

Results for "statistical classification"


  • S

    SAS

    SAS Machine Learning Engineer

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Classification And Regression Tree (CART), Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Model Training, Supervised Learning, Decision Tree Learning, Probability & Statistics, Data Processing, Machine Learning Software, Statistical Software, Machine Learning Methods, Process Modeling, Machine Learning, Correlation Analysis, Applied Machine Learning

    ★ 4.7 (105) · Advanced · Professional Certificate · 3 - 6 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    Universidad de los Andes

    Fundamentos de estadística aplicada

    Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Data Analysis, Statistics, Regression Analysis, Sampling (Statistics), Statistical Analysis, Statistical Modeling, Probability & Statistics, Probability Distribution, Applied Mathematics, Statistical Inference, Correlation Analysis

    ★ 4.5 (147) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • É

    École Polytechnique Fédérale de Lausanne

    Interest Rate Models

    Skills you'll gain: Portfolio Risk, Derivatives, Financial Market, Risk Modeling, Securities (Finance), Futures Exchange, Risk Management, Investments, Financial Modeling, Market Data, Portfolio Management, Mathematical Modeling, Finance, Probability, Statistical Modeling, Estimation, Applied Mathematics

    ★ 4.5 (197) · Advanced · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • J

    Johns Hopkins University

    Mastering Software Development in R

    Skills you'll gain: Ggplot2, Software Documentation, Open Source Technology, R (Software), Plot (Graphics), Tidyverse (R Package), Package and Software Management, Web Scraping, Data Manipulation, Data Visualization Software, Leaflet (Software), R Programming, Data Wrangling, Data Visualization, Data Preprocessing, Technical Documentation, Visualization (Computer Graphics), Unit Testing, Object Oriented Programming (OOP), Object Oriented Design

    ★ 4.2 (1.5K) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • K

    Kennesaw State University

    Six Sigma Tools for Improve and Control

    Skills you'll gain: Six Sigma Methodology, Process Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Kaizen Methodology, Quality Improvement, Process Improvement and Optimization, Regression Analysis, Statistical Process Controls, Process Analysis, Continuous Improvement Process, Project Management, Quality Management, Quality Control, Cost Benefit Analysis, Statistical Inference, Document Control, Project Documentation

    ★ 4.7 (1.4K) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • M

    Microsoft

    Microsoft AI & ML Engineering

    Skills you'll gain: Unsupervised Learning, Fine-tuning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Generative Model Architectures, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Infrastructure Architecture, LLM Application, Responsible AI, Data Infrastructure, Data Preprocessing, Model Optimization

    ★ 4.6 (356) · Intermediate · Professional Certificate · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • A

    American Psychological Association

    Psychological Research

    Skills you'll gain: Institutional Review Board (IRB), Descriptive Statistics, Quantitative Research, Data Literacy, Scientific Methods, Graphing, Research Design, Statistical Visualization, Statistical Hypothesis Testing, Probability & Statistics, Research, Statistical Inference, Statistics, Statistical Analysis, Statistical Methods, Surveys, Ethical Standards And Conduct, Data Analysis, Research Methodologies, Research and Design

    ★ 4.8 (289) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Minnesota

    Analytics for Decision Making

    Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Simulations, Operations Research, Probability Distribution, Mathematical Modeling, Supply Chain Planning, Supply Chain, Probability, Predictive Modeling, Statistical Methods, Data Preprocessing, Transportation, Supply Chain, and Logistics, Business Modeling, Simulation and Simulation Software, Model Training, Business Analytics, Workforce Management, Analytics, Predictive Analytics

    ★ 4.7 (300) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • J

    Johns Hopkins University

    Data and Health Indicators in Public Health Practice

    Skills you'll gain: Epidemiology, Public Health, Public Health and Disease Prevention, Health Policy, Health Informatics, Biostatistics, Infectious Diseases, Health Information Management, Data Collection, Descriptive Analytics, Statistical Methods

    ★ 4.7 (1.3K) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    Scalable Machine Learning on Big Data using Apache Spark

    Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage Technologies, Statistical Machine Learning, Data Preprocessing, Data Storage, Data Pipelines, Machine Learning Algorithms, Machine Learning, Data Processing, Data Science, Model Evaluation, Descriptive Statistics

    ★ 3.8 (1.3K) · Intermediate · Course · 1 - 4 Weeks

    Category: Credit offered
    Credit offered
  • T

    The University of Chicago

    Machine Learning: Concepts and Applications

    Skills you'll gain: Keras (Neural Network Library), Machine Learning Methods, Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Statistical Machine Learning, Machine Learning Software, Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm, Model Training, Dimensionality Reduction, Model Evaluation, Data Preprocessing

    ★ 3.9 (25) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Compare Stock Returns with Google Sheets

    Skills you'll gain: Risk Analysis, Portfolio Risk, Google Sheets, Financial Analysis, Risk Management, Quantitative Research, Spreadsheet Software, Statistical Analysis, Statistical Methods, Statistics, Market Data, Probability & Statistics, Descriptive Analytics

    ★ 4.3 (683) · Beginner · Guided Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
1…707172…246

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

  • SAS Machine Learning Engineer: SAS
  • Fundamentos de estadística aplicada: Universidad de los Andes
  • Interest Rate Models: École Polytechnique Fédérale de Lausanne
  • Mastering Software Development in R: Johns Hopkins University
  • Six Sigma Tools for Improve and Control: Kennesaw State University
  • Microsoft AI & ML Engineering: Microsoft
  • Psychological Research: American Psychological Association
  • Analytics for Decision Making: University of Minnesota
  • Data and Health Indicators in Public Health Practice: Johns Hopkins University
  • Scalable Machine Learning on Big Data using Apache Spark: IBM

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