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  • Statistical Classification

Results for "statistical classification"


  • I

    Imperial College London

    Validity and Bias in Epidemiology

    Skills you'll gain: Research Design, Epidemiology, Data Collection, Biostatistics, Research Methodologies, Public Health and Disease Prevention, Regression Analysis, Statistical Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    254 reviews

    Intermediate · Course · 1 - 4 Weeks

  • N

    National Taiwan University

    機器學習技法 (Machine Learning Techniques)

    Skills you'll gain: Decision Tree Learning, Deep Learning, Random Forest Algorithm, Applied Machine Learning, Feature Engineering, Unsupervised Learning, Classification Algorithms, Artificial Neural Networks, Supervised Learning, Machine Learning, Model Evaluation, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    35 reviews

    Intermediate · Course · 3 - 6 Months

  • S

    SAS

    Regression Modeling Fundamentals

    Skills you'll gain: Logistic Regression, Predictive Modeling, SAS (Software), Statistical Modeling, Regression Analysis, Model Evaluation, Statistical Analysis, Data Analysis, Model Deployment, Data Preprocessing, Statistical Methods, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    53 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of California San Diego

    Meaningful Predictive Modeling

    Skills you'll gain: Model Evaluation, Predictive Modeling, Data Validation, Regression Analysis, Supervised Learning, Feature Engineering, Python Programming, Statistical Methods, Machine Learning Methods, Data Preprocessing, Classification Algorithms, Natural Language Processing

    4.3
    Rating, 4.3 out of 5 stars
    ·
    49 reviews

    Intermediate · Course · 1 - 4 Weeks

  • H

    H2O.ai

    Practical Machine Learning on H2O

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Deep Learning, Autoencoders, Anomaly Detection, Applied Machine Learning, Machine Learning, Supervised Learning, Decision Tree Learning, Predictive Modeling, Classification Algorithms, Data Preprocessing, Random Forest Algorithm, Data Manipulation, Feature Engineering, Dimensionality Reduction

    4.5
    Rating, 4.5 out of 5 stars
    ·
    74 reviews

    Intermediate · Course · 1 - 3 Months

  • W

    Whizlabs

    NVIDIA: Fundamentals of Machine Learning

    Skills you'll gain: Data Preprocessing, Unsupervised Learning, Model Evaluation, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Feature Engineering, Artificial Intelligence, Deep Learning, Classification Algorithms, Statistical Analysis, Regression Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 4 Weeks

  • A

    Arizona State University

    Semiconductor Packaging

    Skills you'll gain: Statistical Process Controls, Process Control, Semiconductors, Quality Assurance, Verification And Validation, Electronics Engineering, Manufacturing Operations, Manufacturing Processes, Electronics, Process Improvement, Process Analysis, Product Testing, Reliability, Electronic Components, Electronic Systems, Computer Hardware, Computer Architecture, Thermal Management, Scalability, Systems Integration

    4.7
    Rating, 4.7 out of 5 stars
    ·
    246 reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    Universidad de los Andes

    Introducción a la ciencia de datos aplicada

    Skills you'll gain: Data Visualization, Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Data Science, Jupyter, Data Analysis, Business Analytics, Statistical Analysis, Probability & Statistics, Python Programming, Descriptive Statistics, Data Modeling, Statistical Modeling, Design Thinking

    4.7
    Rating, 4.7 out of 5 stars
    ·
    446 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    Universidad de los Andes

    Introducción a la inteligencia artificial contemporánea

    Skills you'll gain: Artificial Intelligence, Image Analysis, Reinforcement Learning, Computer Vision, Machine Learning, Semantic Web, Natural Language Processing, Embedded Systems, Data Ethics, Supervised Learning, Deep Learning, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    317 reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Maryland, College Park

    Framework for Data Collection and Analysis

    Skills you'll gain: Data Collection, Survey Creation, Research Design, Data Quality, Data Analysis, Data Validation, Sampling (Statistics), Data Management, Big Data, Statistical Methods

    4.2
    Rating, 4.2 out of 5 stars
    ·
    774 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Recommendation Systems on Google Cloud

    Skills you'll gain: Reinforcement Learning, Google Cloud Platform, Machine Learning Methods, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Deep Learning, Applied Machine Learning, Unsupervised Learning, Artificial Neural Networks, Embeddings, Feature Engineering, Data Preprocessing, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    484 reviews

    Advanced · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Advanced Linear Models for Data Science 1: Least Squares

    Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Statistics, Statistical Analysis, Applied Mathematics, General Mathematics, Derivatives

    4.5
    Rating, 4.5 out of 5 stars
    ·
    190 reviews

    Advanced · Course · 1 - 3 Months

1…959697…242

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

  • Validity and Bias in Epidemiology: Imperial College London
  • 機器學習技法 (Machine Learning Techniques): National Taiwan University
  • Regression Modeling Fundamentals: SAS
  • Meaningful Predictive Modeling: University of California San Diego
  • Practical Machine Learning on H2O: H2O.ai
  • NVIDIA: Fundamentals of Machine Learning: Whizlabs
  • Semiconductor Packaging: Arizona State University
  • Introducción a la ciencia de datos aplicada: Universidad de los Andes
  • Introducción a la inteligencia artificial contemporánea: Universidad de los Andes
  • Framework for Data Collection and Analysis: University of Maryland, College Park

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