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  • Regression Models

Results for "regression+models"


  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Predictive Modeling and Analytics

    Skills you'll gain: Predictive Analytics, Logistic Regression, Exploratory Data Analysis, Data Visualization, Data Modeling, Business Analytics, Data Analysis, Statistical Modeling, Regression Analysis, Data Preprocessing, Supervised Learning, Decision Tree Learning, Data Cleansing, Artificial Neural Networks

    3.6
    Rating, 3.6 out of 5 stars
    ·
    604 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    O

    O.P. Jindal Global University

    Predictive Analytics and Forecasting

    Skills you'll gain: Predictive Analytics, Business Analytics, Data Mining, Forecasting, Demand Planning, Statistical Methods, Data-Driven Decision-Making, Customer Analysis, Data Preprocessing, Regression Analysis, Data Analysis, Dimensionality Reduction, Business Communication, Unsupervised Learning, Market Analysis, Logistic Regression, Classification Algorithms, Artificial Neural Networks

    Build toward a degree

    Mixed · Course · 3 - 6 Months

  • Status: New
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    E

    EDUCBA

    SAS: Apply & Evaluate Poisson & Negative Binomial Models

    Skills you'll gain: SAS (Software), Statistical Modeling, Statistical Programming, Regression Analysis, Statistical Analysis, Model Evaluation, Statistical Methods, Probability Distribution, Data Manipulation

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Linear Regression with Python

    Skills you'll gain: Regression Analysis, NumPy, Supervised Learning, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Deep Learning, Data Science, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    437 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    I

    Imperial College London

    Interventions and Calibration

    Skills you'll gain: Mathematical Modeling, Epidemiology, Infectious Diseases, Model Evaluation, Simulations, Statistical Modeling, Data Modeling, R Programming, Statistical Methods, Public Health

    4.7
    Rating, 4.7 out of 5 stars
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    56 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    S

    Sungkyunkwan University

    Using R for Regression and Machine Learning in Investment

    Skills you'll gain: Regression Analysis, Predictive Analytics, Predictive Modeling, Investment Management, Risk Analysis, Investments, R Programming, Machine Learning, Statistical Analysis, Financial Analysis, Logistic Regression, Financial Data, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
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    E

    EDUCBA

    Logistic Regression Fundamentals: Analyze & Predict

    Skills you'll gain: Model Evaluation, Logistic Regression, SAS (Software), Predictive Modeling, Regression Analysis, Predictive Analytics, Feature Engineering, Analytics, Statistical Methods, Data Transformation, Statistical Modeling, Statistical Analysis, Business Analytics, Estimation, Probability

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    S

    Simplilearn

    Introduction to Linear Regression Training

    Skills you'll gain: Predictive Analytics, Regression Analysis, Predictive Modeling, Machine Learning, Supervised Learning, Forecasting, Case Studies, Business Analytics, Statistical Modeling

    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
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    41 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Linear Regression in R for Public Health

    Skills you'll gain: Correlation Analysis, Regression Analysis, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, R (Software), Exploratory Data Analysis, Model Evaluation, Statistical Analysis, Probability & Statistics, Biostatistics, Data Import/Export

    4.8
    Rating, 4.8 out of 5 stars
    ·
    527 reviews

    Intermediate · Course · 1 - 4 Weeks

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

    EDUCBA

    Linear Regression & Supervised Learning in Python

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Applied Machine Learning, Scatter Plots, Statistical Analysis, Data Validation, Data Preprocessing, NumPy, Pandas (Python Package), Box Plots, Histogram

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
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    E

    EDUCBA

    Master Time Series Forecasting with R: Analyze & Predict

    Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, Predictive Modeling, R Programming, Regression Analysis, Business Analytics, Trend Analysis, Statistical Analysis, Statistical Modeling, Analysis, Model Evaluation

    Mixed · Course · 1 - 4 Weeks

1…678…9

In summary, here are 10 of our most popular regression+models courses

  • Predictive Modeling and Analytics : University of Colorado Boulder
  • Predictive Analytics and Forecasting: O.P. Jindal Global University
  • SAS: Apply & Evaluate Poisson & Negative Binomial Models: EDUCBA
  • Linear Regression with Python: Coursera
  • Interventions and Calibration: Imperial College London
  • Using R for Regression and Machine Learning in Investment: Sungkyunkwan University
  • Logistic Regression Fundamentals: Analyze & Predict: EDUCBA
  • Introduction to Linear Regression Training : Simplilearn
  • Prediction Models with Sports Data: University of Michigan
  • Linear Regression in R for Public Health : Imperial College London

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