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Results for "statistical classification"

  • Status: Preview
    Preview
    E

    EIT Digital

    Data Science for Business Innovation

    Skills you'll gain: Data Strategy, Data-Driven Decision-Making, Big Data, Data Science, NoSQL, Data Modeling, Data Storage Technologies, Analytics, Business Analytics, Data Analysis, Data Ethics, Machine Learning, Unsupervised Learning, Regression Analysis, Classification And Regression Tree (CART), Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML)

    4.3
    Rating, 4.3 out of 5 stars
    ·
    269 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Survival Analysis in R for Public Health

    Skills you'll gain: Biostatistics, Statistical Analysis, R Programming, Statistical Methods, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Probability & Statistics, Statistical Modeling, Correlation Analysis, Statistical Hypothesis Testing, Descriptive Statistics, Public Health

    4.5
    Rating, 4.5 out of 5 stars
    ·
    329 reviews

    Intermediate · Course · 1 - 4 Weeks

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

    EDUCBA

    Data Analysis with NumPy and Pandas

    Skills you'll gain: Pandas (Python Package), Pivot Tables And Charts, Data Manipulation, Data Import/Export, NumPy, Time Series Analysis and Forecasting, Business Reporting, Jupyter, Data Wrangling, Microsoft Excel, Data Transformation, Matplotlib, Data Analysis, Data Cleansing, Analytics, Business Analytics, Python Programming, Data Analysis Software, Numerical Analysis, Statistical Analysis

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Gen AI Foundational Models for NLP & Language Understanding

    Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Generative AI, Natural Language Processing, Data Ethics, Text Mining, Artificial Neural Networks, Deep Learning, Feature Engineering, Statistical Methods

    4.5
    Rating, 4.5 out of 5 stars
    ·
    165 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Machine Learning Engineer

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Responsible AI, Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Dataflow, Keras (Neural Network Library), Data Quality, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Applied Machine Learning, Data Pipelines, Apache Airflow, Scikit Learn (Machine Learning Library), Data Cleansing, Real Time Data, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    4.9K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Preview
    Preview
    D

    Duke University

    Data Science Math Skills

    Skills you'll gain: Probability, Graphing, Algebra, Bayesian Statistics, Arithmetic, Data Science, Calculus, Data Analysis, Descriptive Statistics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Tableau Data Analysis and Visualization

    Skills you'll gain: Tableau Software, Dashboard, Data Visualization Software, Data Visualization, R Programming, Alteryx, Statistical Programming, Data Presentation, Interactive Data Visualization, Data Cleansing, Data Storytelling, Data Structures, Statistical Analysis, Workflow Management, Data Analysis, Scatter Plots, Graphing, Data Manipulation, Data Processing, Data Transformation

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    T

    The University of Chicago

    Machine Learning: Concepts and Applications

    Skills you'll gain: Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Statistical Methods, Tensorflow, Feature Engineering, Artificial Neural Networks, Pandas (Python Package)

    3.8
    Rating, 3.8 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera Project Network

    Interpretable Machine Learning Applications: Part 1

    Skills you'll gain: Feature Engineering, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Random Forest Algorithm, Responsible AI, Predictive Modeling, Data Import/Export, Machine Learning, Predictive Analytics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    62 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Preview
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    P

    Packt

    Machine Learning with PyTorch and Scikit-Learn

    Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Generative AI, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering, Predictive Modeling, Supervised Learning, Unsupervised Learning, Data Transformation, NumPy

    Intermediate · Course · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Lean Six Sigma Yellow Belt: Apply, Analyze & Improve Quality

    Skills you'll gain: Lean Six Sigma, Quality Management, Process Analysis, Quality Improvement, Process Capability, Data-Driven Decision-Making, Process Flow Diagrams, Pareto Chart, Run Chart, Statistical Process Controls, Process Improvement, Statistical Analysis, Quality Control, Data Analysis, Data Analysis Software, Histogram, Scatter Plots

    4.7
    Rating, 4.7 out of 5 stars
    ·
    18 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Applied Data Science Capstone

    Skills you'll gain: Plotly, Exploratory Data Analysis, Predictive Modeling, Data Science, Data-Driven Decision-Making, Data Presentation, Data Analysis, Pandas (Python Package), Web Scraping, Statistical Modeling, Data Wrangling, Machine Learning Methods, Data Collection, GitHub

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.4K reviews

    Intermediate · Course · 1 - 3 Months

1…313233…205

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

  • Data Science for Business Innovation: EIT Digital
  • Survival Analysis in R for Public Health: Imperial College London
  • Data Analysis with NumPy and Pandas: EDUCBA
  • Gen AI Foundational Models for NLP & Language Understanding: IBM
  • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
  • Data Science Math Skills: Duke University
  • Tableau Data Analysis and Visualization: Packt
  • Machine Learning: Concepts and Applications: The University of Chicago
  • Interpretable Machine Learning Applications: Part 1: Coursera Project Network
  • Machine Learning with PyTorch and Scikit-Learn: Packt

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