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  • Statistical Classification

Results for "statistical classification"


  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Healthcare Marketplace Capstone

    Skills you'll gain: Competitive Analysis, Healthcare Industry Knowledge, Stakeholder Analysis, Medical Devices, Market Opportunities, Innovation, Clinical Assessment, Market Analysis, Report Writing, Revenue Forecasting, Financial Modeling, Cost Benefit Analysis, Business Valuation, Regulatory Affairs, Intellectual Property

    4.7
    Rating, 4.7 out of 5 stars
    ·
    67 reviews

    Mixed · Course · 1 - 3 Months

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

    EDUCBA

    Applied Python: Web Dev, Machine Learning & Cryptography

    Skills you'll gain: Cryptography, Model Evaluation, Exploratory Data Analysis, Event-Driven Programming, Encryption, Server Side, Web Development, Regression Analysis, Apache, Web Services, Machine Learning Algorithms, Classification Algorithms, Data Preprocessing, Public Key Cryptography Standards (PKCS), Web Scraping, Natural Language Processing, Web Applications, Key Management, Python Programming, Predictive Modeling

    4.9
    Rating, 4.9 out of 5 stars
    ·
    54 reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Hyperparameter Tuning with Keras Tuner

    Skills you'll gain: Keras (Neural Network Library), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Python Programming, Performance Tuning, Machine Learning Algorithms, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    70 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Visualizing Filters of a CNN using TensorFlow

    Skills you'll gain: Tensorflow, Convolutional Neural Networks, Image Analysis, Python Programming, Jupyter, Artificial Neural Networks, Deep Learning, Software Visualization, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    82 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • 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: Preview
    Preview
    C

    Copenhagen Business School

    AI and the Illusion of Intelligence

    Skills you'll gain: Artificial Intelligence, Large Language Modeling, Natural Language Processing, Theoretical Computer Science, Human Learning, Statistical Analysis, Artificial Neural Networks, Computational Thinking, Human Computer Interaction, Social Impact

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25 reviews

    Beginner · 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: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Engineering Probability and Statistics Part 1

    Skills you'll gain: Probability & Statistics, Probability Distribution, Probability, Statistical Modeling, Exploratory Data Analysis, Statistical Analysis, Bayesian Statistics, Descriptive Statistics, Data Analysis, Statistical Visualization, Correlation Analysis, Reliability

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    SAS

    Using SAS Viya REST APIs with Python and R

    Skills you'll gain: SAS (Software), Data Analysis Software, R (Software), Advanced Analytics, R Programming, Recurrent Neural Networks (RNNs), Big Data, Image Analysis, Time Series Analysis and Forecasting, Natural Language Processing, Statistical Programming, Jupyter, Predictive Modeling, Deep Learning, Restful API, Convolutional Neural Networks, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Washington

    머신 러닝: 회귀 모델

    Skills you'll gain: Model Evaluation, Regression Analysis, Supervised Learning, Predictive Modeling, Statistical Modeling, Statistical Methods, Machine Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Feature Engineering, Linear Algebra, NumPy, Algorithms

    Mixed · Course · 1 - 3 Months

  • P

    Packt

    Machine Learning: Random Forest with Python from Scratch©

    Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Data Visualization, Data Preprocessing, Machine Learning, Data Manipulation, Feature Engineering, Data Cleansing, Python Programming, Data Science, Model Evaluation, Classification Algorithms, NumPy, Pandas (Python Package)

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    L&T EduTech

    Geometric and Traffic Aspects of Highway

    Skills you'll gain: Traffic Flow Optimization, Civil Engineering, Stormwater Management, Hydrology, Hydraulics, Construction, Safety Standards, Geometric Dimensioning And Tolerancing, Engineering Calculations, Engineering Analysis, Engineering Design Process, Design

    Intermediate · Course · 1 - 3 Months

1…138139140…209

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

  • Healthcare Marketplace Capstone: University of Minnesota
  • Applied Python: Web Dev, Machine Learning & Cryptography: EDUCBA
  • Hyperparameter Tuning with Keras Tuner: Coursera
  • Visualizing Filters of a CNN using TensorFlow: Coursera
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University
  • AI and the Illusion of Intelligence: Copenhagen Business School
  • Fundamentals of CNNs and RNNs: Sungkyunkwan University
  • Engineering Probability and Statistics Part 1: Northeastern University
  • Using SAS Viya REST APIs with Python and R: SAS
  • 머신 러닝: 회귀 모델: University of Washington

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