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  • Statistical Classification

Results for "statistical classification"


  • I

    Imperial College London

    Getting started with TensorFlow 2

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Convolutional Neural Networks, Transfer Learning, Supervised Learning, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    582 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    Imperial College London

    Interventions and Calibration

    Skills you'll gain: Mathematical Modeling, Epidemiology, Infectious Diseases, Model Evaluation, Simulations, Statistical Modeling, Predictive Modeling, Data Modeling, R Programming, Statistical Methods, Public Health, Probability Distribution

    4.7
    Rating, 4.7 out of 5 stars
    ·
    56 reviews

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Social Network Analysis

    Skills you'll gain: Social Network Analysis, Network Analysis, Graph Theory, Social Sciences, Statistical Analysis, R Programming, Sociology, Statistical Modeling, Statistical Hypothesis Testing

    4.2
    Rating, 4.2 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Pontificia Universidad Católica de Chile

    Introducción a los modelos de demanda de transporte

    Skills you'll gain: Data Collection, Transportation Operations, Surveys, Quantitative Research, Mathematical Modeling, Predictive Modeling, Statistical Methods, Regression Analysis, Model Evaluation, Logistic Regression, Spatial Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    466 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Using probability distributions for real world problems in R

    Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    37 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • E

    EDUCBA

    Machine Learning with R: Build, Analyze & Predict

    Skills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Model Evaluation, Decision Tree Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    CertNexus

    Build Decision Trees, SVMs, and Artificial Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Random Forest Algorithm, Recurrent Neural Networks (RNNs), Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Computer Vision, Classification Algorithms, Natural Language Processing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Washington

    Communicating Data Science Results

    Skills you'll gain: Data Ethics, Statistical Visualization, Data Storytelling, Data Visualization Software, Data Governance, Big Data, Technical Communication, Cloud Computing, Amazon Web Services, Information Privacy, Ethical Standards And Conduct

    3.4
    Rating, 3.4 out of 5 stars
    ·
    142 reviews

    Mixed · Course · 1 - 4 Weeks

  • L

    L&T EduTech

    Industrial Power Systems Analysis and Stability

    Skills you'll gain: Electrical Systems, Electric Power Systems, Electrical Power, Control Systems, Electrical Equipment, Three-Phase, High Voltage, Wiring Diagram, Systems Analysis, Simulation and Simulation Software, Electrical Engineering, Network Analysis, Engineering Analysis, Numerical Analysis, Low Voltage, Mathematical Modeling, Simulations, Power Electronics, Graph Theory, Differential Equations

    4.5
    Rating, 4.5 out of 5 stars
    ·
    46 reviews

    Intermediate · Specialization · 1 - 3 Months

  • U

    University of Minnesota

    Matrix Factorization and Advanced Techniques

    Skills you'll gain: Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Algorithms, Model Evaluation, Linear Algebra

    4.4
    Rating, 4.4 out of 5 stars
    ·
    190 reviews

    Mixed · Course · 1 - 3 Months

  • M

    McMaster University

    Finance For Everyone: Value

    Skills you'll gain: Financial Analysis, Financial Market, Cash Flows, Financial Modeling, Investments, Business Valuation, Financial Data, Risk Management, Market Dynamics, Decision Making, Analytical Skills, Case Studies

    4.7
    Rating, 4.7 out of 5 stars
    ·
    252 reviews

    Mixed · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Moneyball and Beyond

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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    53 reviews

    Intermediate · Course · 1 - 3 Months

1…121122123…242

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

  • Getting started with TensorFlow 2: Imperial College London
  • Interventions and Calibration: Imperial College London
  • Social Network Analysis: Johns Hopkins University
  • Introducción a los modelos de demanda de transporte: Pontificia Universidad Católica de Chile
  • Using probability distributions for real world problems in R: Coursera
  • Machine Learning with R: Build, Analyze & Predict: EDUCBA
  • Build Decision Trees, SVMs, and Artificial Neural Networks: CertNexus
  • Communicating Data Science Results: University of Washington
  • Industrial Power Systems Analysis and Stability: L&T EduTech
  • Matrix Factorization and Advanced Techniques: University of Minnesota

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