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  • Linear Vs Logistic Regression


Results for "linear+vs+logistic+regression"


  • Status: New
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    E

    EDUCBA

    Logistic Regression with SAS: Build & Evaluate Models

    Skills you'll gain: Logistic Regression, Feature Engineering, Model Evaluation, SAS (Software), Data Preprocessing, Predictive Modeling, Classification Algorithms, Statistical Modeling, Regression Analysis, Data Analysis Software, Data Transformation, Statistical Analysis, Correlation Analysis, Graphing

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Probability & Statistics for Machine Learning & Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Statistical Modeling, Exploratory Data Analysis, Statistical Visualization

    4.6
    Rating, 4.6 out of 5 stars
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    670 reviews

    Intermediate · 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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    438 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    Illinois Tech

    Variable Selection, Model Validation, Nonlinear Regression

    Skills you'll gain: Statistical Inference, Regression Analysis, Logistic Regression, R Programming, Statistical Analysis, Statistical Modeling, R (Software), Predictive Modeling, Model Evaluation, Statistical Hypothesis Testing, Probability Distribution, Probability

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Michigan

    Linear Regression Modeling for Health Data

    Skills you'll gain: Statistical Modeling, Regression Analysis, Statistical Methods, Statistical Inference, Probability & Statistics, Correlation Analysis, Data Analysis, Statistical Analysis, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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
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    188 reviews

    Advanced · Course · 1 - 3 Months

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    EDUCBA

    Python: Logistic Regression & Supervised ML

    Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Logistic Regression, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Data Preprocessing, Pandas (Python Package), NumPy, Data Cleansing

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Johns Hopkins University

    Advanced Linear Models for Data Science 2: Statistical Linear Models

    Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistical Inference

    4.6
    Rating, 4.6 out of 5 stars
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    104 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    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

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Jupyter, Algorithms, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    13K reviews

    Beginner · Course · 1 - 3 Months

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    Northeastern University

    Industrial Optimization: Models & Linear Programming

    Skills you'll gain: Operations Research, Applied Mathematics, Mathematical Software, Operational Analysis, Linear Algebra, Mathematical Modeling, Algorithms, Business Modeling, Complex Problem Solving

    Build toward a degree

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Predictive Modeling with Python: Apply & Evaluate

    Skills you'll gain: Predictive Modeling, Model Evaluation, Data Preprocessing, Predictive Analytics, Logistic Regression, Risk Modeling, Statistical Modeling, Feature Engineering, Regression Analysis, Correlation Analysis, Classification Algorithms, Data Manipulation, Scikit Learn (Machine Learning Library), Data Transformation, Pandas (Python Package), NumPy

    Mixed · Course · 1 - 3 Months

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In summary, here are 10 of our most popular linear+vs+logistic+regression courses

  • Logistic Regression with SAS: Build & Evaluate Models: EDUCBA
  • Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
  • Linear Regression with Python: Coursera
  • Variable Selection, Model Validation, Nonlinear Regression: Illinois Tech
  • Linear Regression Modeling for Health Data: University of Michigan
  • Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University
  • Python: Logistic Regression & Supervised ML: EDUCBA
  • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
  • Prediction Models with Sports Data: University of Michigan
  • Mathematics for Machine Learning: Linear Algebra: Imperial College London

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