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  • Statistical Classification

Results for "statistical classification"


  • Status: Free Trial
    Free Trial
    F

    Fred Hutchinson Cancer Center

    Researcher's guide to omic fundamentals

    Skills you'll gain: Bioinformatics, Molecular Biology, Data Processing, Data Analysis, Data Literacy, Exploratory Data Analysis, Metadata Management, R Programming, Scientific Methods, Data Quality

    3.9
    Rating, 3.9 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow Google Cloud 日本語版

    Skills you'll gain: Feature Engineering, Model Evaluation, Tensorflow, Google Cloud Platform, Model Deployment, Data Quality, Data Preprocessing, Machine Learning, Keras (Neural Network Library), Embeddings, Exploratory Data Analysis, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Responsible AI, Data Pipelines, Jupyter, Artificial Neural Networks

    4.4
    Rating, 4.4 out of 5 stars
    ·
    152 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Colorado Boulder

    Introduction to Power Semiconductor Switches

    Skills you'll gain: Semiconductors, Power Electronics, Electronic Components, Electrical Engineering, Electric Power Systems, Thermal Management, Simulation and Simulation Software

    3.5
    Rating, 3.5 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Fundamentals of CNNs and RNNs

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Image Analysis, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    39 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Machine Learning for Smart Beta

    Skills you'll gain: Data Processing, Data Preprocessing, Portfolio Management, Investment Management, Classification And Regression Tree (CART), Statistical Machine Learning, Investments, Machine Learning Algorithms, Applied Machine Learning, R Programming, Feature Engineering, Machine Learning, Financial Modeling, Model Evaluation, Supervised Learning, Asset Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Machine Learning with Python: Diabetes Prediction

    Skills you'll gain: Jupyter, Data Transformation, Logistic Regression, Machine Learning Methods, Health Informatics, Applied Machine Learning, Data Preprocessing, Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Predictive Analytics, Analytics, Classification Algorithms, Pandas (Python Package), Software Installation

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Random Forest Algorithm, Decision Tree Learning, Supervised Learning, Logistic Regression, Classification Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Tidying and Importing with R

    Skills you'll gain: Web Scraping, Data Ethics, Data Transformation, Tidyverse (R Package), Data Wrangling, Data Cleansing, Data Manipulation, Data Collection, Data Pipelines, Data Preprocessing, Personally Identifiable Information, Data Integrity, R Programming, Exploratory Data Analysis, Information Privacy, Statistical Programming

    5
    Rating, 5 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Semantic Processing

    Skills you'll gain: Embeddings, Semantic Web, Natural Language Processing, Data Processing, Text Mining, Applied Machine Learning, Classification Algorithms, Unsupervised Learning, Dimensionality Reduction, Linear Algebra

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Explainable Machine Learning (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Artificial Intelligence, Model Evaluation, Python Programming, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Deep Learning, Plot (Graphics), Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    22 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    L

    LearnQuest

    AI 알고리즘 모델과 한계점

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Machine Learning Algorithms, Machine Learning, Algorithms, Responsible AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Model Evaluation, Business Ethics, Ethical Standards And Conduct

    4.3
    Rating, 4.3 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Researcher's guide to omic fundamentals: Fred Hutchinson Cancer Center
  • Machine Learning with TensorFlow Google Cloud 日本語版: Google Cloud
  • Introduction to Power Semiconductor Switches: University of Colorado Boulder
  • Fundamentals of CNNs and RNNs: Sungkyunkwan University
  • Machine Learning for Smart Beta: Sungkyunkwan University
  • Machine Learning with Python: Diabetes Prediction: EDUCBA
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University
  • Data Tidying and Importing with R: Duke University
  • Prediction Models with Sports Data: University of Michigan
  • Advanced Semantic Processing: Packt

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