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  • Logistic Regression For Classification Problems

Results for "logistic regression for classification problems"


  • C

    Coursera

    AWS AutoGluon for Machine Learning Classification

    Skills you'll gain: AWS SageMaker, Applied Machine Learning, Amazon Web Services, Classification And Regression Tree (CART), Predictive Modeling, Machine Learning Algorithms, Machine Learning, Supervised Learning, Python Programming

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Unsupervised Text Classification for Marketing Analytics

    Skills you'll gain: Unsupervised Learning, Unstructured Data, Marketing Analytics, Text Mining, Deep Learning, Machine Learning, JSON, Data Processing, Natural Language Processing, Machine Learning Algorithms, Exploratory Data Analysis, Python Programming

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IESE Business School

    Analysis of Business Problems

    Skills you'll gain: Business Analytics, Business Analysis, Financial Analysis, Strategic Decision-Making, Business Strategy, Organizational Leadership, Analytical Skills, Data-Driven Decision-Making, Complex Problem Solving, Analysis, Market Share, Case Studies, Financial Statements, Marketing, Consumer Behaviour, Decision Making, Team Leadership, Balance Sheet, Working Capital, Branding

    4.7
    Rating, 4.7 out of 5 stars
    ·
    154 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of London

    Problems, Algorithms and Flowcharts

    Skills you'll gain: Pseudocode, Algorithms, Computational Thinking, Computer Science, Data Structures, Program Development

    4.4
    Rating, 4.4 out of 5 stars
    ·
    26 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Excel Regression Models for Business Forecasting

    Skills you'll gain: Forecasting, Regression Analysis, Time Series Analysis and Forecasting, Business Mathematics, Microsoft Excel, Statistical Modeling, Trend Analysis, Statistical Analysis, Data Visualization Software

    4.9
    Rating, 4.9 out of 5 stars
    ·
    110 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Michigan

    The Finite Element Method for Problems in Physics

    Skills you'll gain: Finite Element Methods, Engineering Analysis, Numerical Analysis, Mathematical Modeling, Advanced Mathematics, C++ (Programming Language), Object Oriented Programming (OOP)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    560 reviews

    Intermediate · Course · 3 - 6 Months

  • C

    Coursera

    TensorFlow for Beginners: Basic Binary Image Classification

    Skills you'll gain: Tensorflow, Image Analysis, Artificial Neural Networks, Application Deployment, Data Processing, Applied Machine Learning, Machine Learning Methods, Computer Vision, Deep Learning

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Linear Regression Modeling for Health Data

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

    Intermediate · Course · 1 - 4 Weeks

  • 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, Statistical Analysis, Statistical Methods, Probability & Statistics, Biostatistics, Data Import/Export

    4.8
    Rating, 4.8 out of 5 stars
    ·
    527 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Using probability distributions for real world problems in R

    Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    32 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    E

    EDUCBA

    Regression & Forecasting for Data Scientists using Python

    Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Feature Engineering, Statistical Analysis, Forecasting, Regression Analysis, Python Programming, Data Analysis, Predictive Modeling, Pandas (Python Package), Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Supervised Learning, Data Cleansing, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    42 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Pneumonia Classification using PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Medical Imaging, Radiology, Image Analysis, X-Ray Computed Tomography, Deep Learning, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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In summary, here are 10 of our most popular logistic regression for classification problems courses

  • AWS AutoGluon for Machine Learning Classification: Coursera
  • Unsupervised Text Classification for Marketing Analytics: University of Colorado Boulder
  • Analysis of Business Problems: IESE Business School
  • Problems, Algorithms and Flowcharts: University of London
  • Excel Regression Models for Business Forecasting: Macquarie University
  • The Finite Element Method for Problems in Physics: University of Michigan
  • TensorFlow for Beginners: Basic Binary Image Classification: Coursera
  • Linear Regression Modeling for Health Data: University of Michigan
  • Linear Regression in R for Public Health : Imperial College London
  • Using probability distributions for real world problems in R: Coursera

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