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  • Multinomial Logistic Regression

Results for "multinomial logistic regression"


  • C

    Coursera

    Essential Causal Inference Techniques for Data Science

    Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    39 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Data Ethics, Decision Tree Learning, AI Security, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, AI Product Strategy, Statistical Modeling, Python Programming, Machine Learning, Model Evaluation, Applied Machine Learning, Logistic Regression, Machine Learning Methods, Deep Learning, Visualization (Computer Graphics), Data Literacy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    76 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Traverse Trees for ML with DFS & BFS

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Classification Algorithms, Java, Java Programming, Machine Learning Algorithms, Supervised Learning, Algorithms, Machine Learning, Data Structures, Software Engineering

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Predicting Extreme Climate Behavior with Machine Learning

    Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Statistical Machine Learning, Machine Learning, Regression Analysis, Supervised Learning, Data Science, Decision Tree Learning, Statistical Analysis, Classification Algorithms, Predictive Modeling, Artificial Neural Networks, Data Processing, Logistic Regression

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Science Methodology

    Skills you'll gain: Jupyter, Data Modeling, Model Deployment, Data Science, Data Preprocessing, Data Cleansing, Data Mining, Model Evaluation, Business Analysis, Data Analysis, Business Requirements, Decision Tree Learning, Data Storytelling

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rutgers the State University of New Jersey

    Supply Chain Analytics

    Skills you'll gain: Competitive Intelligence, Demand Planning, Strategic Sourcing, Competitive Analysis, Customer Demand Planning, Data Storytelling, Procurement, Supplier Management, Supply Chain, Regression Analysis, Supplier Performance Management, Inventory Control, Business Analytics, Data Collection, Supply Management, Supply Chain Management, Business Intelligence, Materials Management, Strategic Decision-Making, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.3K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: From Concept to Data Analysis

    Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Methods, Probability & Statistics, Statistics, Statistical Modeling, Probability, Probability Distribution, Data Analysis, R Programming, Regression Analysis, R (Software), Microsoft Excel, Analytical Skills, Statistical Visualization, Predictive Modeling, Data Visualization, Data Modeling

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    Six Sigma Advanced Define and Measure Phases

    Skills you'll gain: Process Capability, Team Management, Team Building, Exploratory Data Analysis, Six Sigma Methodology, Probability & Statistics, Statistical Methods, Process Analysis, Statistical Analysis, Lean Six Sigma, Process Mapping, Data Collection, Performance Measurement, Regression Analysis, Probability, Statistics, Process Improvement, Quality Improvement, Business Process, Sampling (Statistics)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Español

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Data Preprocessing, Applied Machine Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Data Cleansing, Supervised Learning, Data Strategy, Logistic Regression, Dataflow, Model Evaluation, Performance Tuning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    448 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Machine Learning Algorithms with Python in Business Analytics

    Skills you'll gain: Classification Algorithms, Business Analytics, Data Preprocessing, Regression Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Unsupervised Learning, Business Intelligence, Predictive Modeling, Machine Learning, Python Programming, Decision Tree Learning, Supervised Learning, Model Evaluation

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    40 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Credit Default Prediction with Python: Apply & Analyze

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Decision Tree Learning, Credit Risk, Random Forest Algorithm, Feature Engineering, Financial Modeling, Logistic Regression, Data Analysis, Statistical Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Pandas (Python Package), Machine Learning Methods, Classification Algorithms

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning, Supervised Learning, Applied Machine Learning, Data Science, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    301 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular multinomial logistic regression courses

  • Essential Causal Inference Techniques for Data Science: Coursera
  • Explainable AI (XAI): Duke University
  • Traverse Trees for ML with DFS & BFS: Coursera
  • Predicting Extreme Climate Behavior with Machine Learning : University of Colorado Boulder
  • Data Science Methodology: IBM
  • Supply Chain Analytics: Rutgers the State University of New Jersey
  • Bayesian Statistics: From Concept to Data Analysis: University of California, Santa Cruz
  • Six Sigma Advanced Define and Measure Phases: Kennesaw State University
  • Machine Learning with TensorFlow on Google Cloud en Español: Google Cloud
  • Machine Learning Algorithms with Python in Business Analytics: University of Illinois Urbana-Champaign

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