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  • Logistic Regression

Logistic Regression Courses

Logistic regression courses can help you learn statistical modeling, hypothesis testing, and the interpretation of coefficients. You can build skills in evaluating model performance, understanding odds ratios, and applying techniques like regularization to improve accuracy. Many courses introduce tools such as R, Python, and specialized libraries like scikit-learn, showing how these skills are used to analyze binary outcomes in various fields, including healthcare, finance, and marketing.

Popular Logistic Regression Courses and Certifications


  • P

    Packt

    Financial Analysis with ARIMA and Time Series Forecasting

    Skills you'll gain: Time Series Analysis and Forecasting, Applied Machine Learning, Financial Forecasting, Statistical Machine Learning, Statistical Analysis, Machine Learning, Trend Analysis, Financial Data, Financial Modeling, Model Evaluation, Forecasting, Jupyter, Predictive Modeling, Regression Analysis, Finance, GitHub, Statistical Modeling, Data Transformation

    Intermediate · Course · 1 - 3 Months

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

    Coursera

    Debug ML Code: Fix, Trace & Evaluate

    Skills you'll gain: Regression Testing, Debugging, Unit Testing, Test Case, Code Review, Root Cause Analysis, Data Integrity

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    Erasmus University Rotterdam

    Necessary Condition Analysis (NCA)

    Skills you'll gain: Data Analysis, Statistical Reporting, Analytical Skills, Data Analysis Software, Quantitative Research, Statistical Analysis, Statistical Software, Small Data, Qualitative Research, Research, R (Software), R Programming, Sampling (Statistics), Research Methodologies, Data Collection

    4.9
    Rating, 4.9 out of 5 stars
    ·
    29 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Washington

    머신 러닝 기초: 사례 연구 접근 방식

    Skills you'll gain: Model Evaluation, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Deep Learning, Jupyter, Supervised Learning, Predictive Modeling, Classification Algorithms, Image Analysis, Unsupervised Learning, Text Mining, Artificial Neural Networks

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Decision Tree Classifier for Beginners in R

    Skills you'll gain: Model Evaluation, Model Training, Classification And Regression Tree (CART), Decision Tree Learning, Data Preprocessing, R (Software), Statistical Modeling, R Programming, Supervised Learning, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • P

    Pearson

    AWS Certified Machine Learning - Specialty

    Skills you'll gain: Model Training, Model Deployment, Exploratory Data Analysis, Model Evaluation, Cloud Deployment, Data Preprocessing, Data Analysis, Data Wrangling, Model Optimization, Amazon Redshift, Amazon Elastic Compute Cloud, Amazon CloudWatch, Application Deployment, AWS Kinesis, Data Pipelines, Extract, Transform, Load, Regression Analysis

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Neural Network for Beginners Using Python

    Skills you'll gain: Data Preprocessing, Deep Learning, Data Processing, Artificial Neural Networks, Logistic Regression, Applied Machine Learning, Program Development, Python Programming, Network Architecture, Model Training, Model Optimization, Machine Learning Algorithms, NumPy, Pandas (Python Package), Linear Algebra

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Machine/Deep Learning for Mining Quality Prediction-Enhanced

    Skills you'll gain: Exploratory Data Analysis, Model Training, Model Evaluation, Data Preprocessing, Regression Analysis, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Analysis, Plot (Graphics), Machine Learning, Data Visualization, Decision Tree Learning, Predictive Analytics, Machine Learning Algorithms, Data Visualization Software, Artificial Neural Networks, Deep Learning, Statistical Methods, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Fundamentals of AI, Machine Learning, and Python Programming

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), NumPy, Applied Machine Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Python Programming, Artificial Neural Networks, Data Manipulation, Programming Principles, Tensorflow, Machine Learning Methods, Regression Analysis, Machine Learning Software, Model Training, Computer Programming

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    F

    Fundação Instituto de Administração

    Engajamento, Conversão e o Consumidor

    Skills you'll gain: Marketing Analytics, Conversion Funnel Analysis, Sales Strategy, Data-Driven Marketing, Customer Analysis, Marketing Strategies, Digital Media Strategy, Data Visualization Software, Customer Insights, Customer Engagement, Consumer Behaviour, Regression Analysis, Analysis, Statistical Analysis, Target Market, Decision Tree Learning, Decision Making, Journey Mapping, Logistic Regression, Artificial Neural Networks

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    K

    Khalifa University

    AI for Executives: The Basics

    Skills you'll gain: Data Strategy, Data Management, Model Deployment, Data Governance, Model Evaluation, Transfer Learning, Data Quality, Model Training, AI Enablement, Decision Intelligence, Data-Driven Decision-Making, Data Literacy, Artificial Intelligence and Machine Learning (AI/ML), Data Integration, MLOps (Machine Learning Operations), Predictive Modeling, AI Product Strategy, Statistical Machine Learning, Predictive Analytics, Applied Machine Learning

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    American Psychological Association

    t-Tests of Hypotheses About Means

    Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Statistical Methods, Statistical Reporting, Quantitative Research, Statistical Analysis, Probability & Statistics, Sampling (Statistics), Statistical Inference, Descriptive Statistics, Statistics, Probability Distribution, Data Analysis, Regression Analysis, Research Design, Research, Psychology

    Beginner · Course · 1 - 3 Months

1…454647…62

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

  • Financial Analysis with ARIMA and Time Series Forecasting: Packt
  • Debug ML Code: Fix, Trace & Evaluate: Coursera
  • Necessary Condition Analysis (NCA): Erasmus University Rotterdam
  • 머신 러닝 기초: 사례 연구 접근 방식: University of Washington
  • Decision Tree Classifier for Beginners in R: Coursera
  • AWS Certified Machine Learning - Specialty: Pearson
  • Deep Neural Network for Beginners Using Python: Packt
  • Machine/Deep Learning for Mining Quality Prediction-Enhanced: Coursera
  • Fundamentals of AI, Machine Learning, and Python Programming: Packt
  • Engajamento, Conversão e o Consumidor: Fundação Instituto de Administração

Skills you can learn in Probability And Statistics

R Programming (19)
Inference (16)
Linear Regression (12)
Statistical Analysis (12)
Statistical Inference (11)
Regression Analysis (10)
Biostatistics (9)
Bayesian (7)
Logistic Regression (7)
Probability Distribution (7)
Bayesian Statistics (6)
Medical Statistics (6)

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