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Results for "algorithms for multiple hypothesis testing"

  • Status: New
    New
    U

    University of Colorado Boulder

    Introduction to Bayesian Statistics for Data Science

    Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Analytical Skills, Probability Distribution

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Machine Learning Essentials

    Skills you'll gain: Statistical Machine Learning, Statistical Methods, Python Programming, Supervised Learning, Machine Learning Methods, Machine Learning, Regression Analysis, Statistical Analysis, Classification And Regression Tree (CART), Applied Machine Learning, Machine Learning Algorithms, Data Science, Statistical Inference, Predictive Modeling, Probability & Statistics, Dimensionality Reduction

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera Project Network

    Principal Component Analysis with NumPy

    Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Cloud Computing, Jupyter, Dimensionality Reduction, Data Science, Unsupervised Learning, Applied Machine Learning, Python Programming, Linear Algebra

    4.6
    Rating, 4.6 out of 5 stars
    ·
    296 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Mining Pipeline

    Skills you'll gain: Data Mining, Data Warehousing, Data Pipelines, Data Processing, Data Integration, Data Modeling, Data Cleansing, Data Transformation, Data Quality, Data Analysis, Descriptive Analytics, Exploratory Data Analysis, Applied Machine Learning

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    ·
    103 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera Project Network

    Machine Learning - Anomaly Detection via PyCaret

    Skills you'll gain: Anomaly Detection, Jupyter, Exploratory Data Analysis, Application Deployment, Unsupervised Learning, Data Visualization, Applied Machine Learning, Machine Learning Methods, Data Presentation, Machine Learning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    18 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    ML Parameters Optimization: GridSearch, Bayesian, Random

    Skills you'll gain: Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Bayesian Statistics, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Trees, SVM and Unsupervised Learning

    Skills you'll gain: Applied Machine Learning, Supervised Learning, Data Science, Artificial Neural Networks, Dimensionality Reduction, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Machine Learning, Predictive Modeling, Random Forest Algorithm, Statistics

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Wesleyan University

    Data Analysis Tools

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Statistical Software, Correlation Analysis, SAS (Software), Data Analysis, Statistical Methods, Quantitative Research, Probability & Statistics, Analytical Skills, Regression Analysis, Data Management, Statistical Inference

    4.5
    Rating, 4.5 out of 5 stars
    ·
    415 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    New York University

    MOST from a Methodological Perspective

    Skills you'll gain: Clinical Trials, Experimentation, Environment and Resource Management, Sample Size Determination, Research Design, Continuous Quality Improvement (CQI), Program Evaluation, Statistical Methods, Research Methodologies

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera Project Network

    Essential Causal Inference Techniques for Data Science

    Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    38 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Machine Learning Algorithms

    Skills you'll gain: Machine Learning Algorithms, Decision Tree Learning, Classification And Regression Tree (CART), Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Linear Algebra, Bayesian Statistics, Probability

    3.5
    Rating, 3.5 out of 5 stars
    ·
    8 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Analysis with Python Project

    Skills you'll gain: Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Machine Learning Algorithms, Statistical Analysis, Unsupervised Learning, Data Mining, Analytics, Predictive Modeling, Regression Analysis, Scikit Learn (Machine Learning Library), Classification And Regression Tree (CART), Exploratory Data Analysis, Project Planning

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular algorithms for multiple hypothesis testing courses

  • Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
  • Machine Learning Essentials: University of Pennsylvania
  • Principal Component Analysis with NumPy: Coursera Project Network
  • Data Mining Pipeline: University of Colorado Boulder
  • Machine Learning - Anomaly Detection via PyCaret: Coursera Project Network
  • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera Project Network
  • Trees, SVM and Unsupervised Learning: University of Colorado Boulder
  • Data Analysis Tools: Wesleyan University
  • MOST from a Methodological Perspective: New York University
  • Essential Causal Inference Techniques for Data Science: Coursera Project Network

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