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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


  • E

    EDUCBA

    Mastering Categorical Data Analysis with SAS

    Skills you'll gain: Logistic Regression, SAS (Software), Predictive Analytics, Data Analysis Software, Predictive Modeling, Advanced Analytics, Data Validation, Feature Engineering, Statistical Software, Model Evaluation, Data Analysis, Statistical Analysis, Regression Analysis, Statistical Modeling, Exploratory Data Analysis, Statistical Methods, Small Data, Statistical Programming, Statistical Hypothesis Testing, Probability & Statistics

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    NLP – Machine Learning Models in Python

    Skills you'll gain: Model Evaluation, Dimensionality Reduction, Classification Algorithms, Text Mining, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Supervised Learning, Unsupervised Learning, Python Programming, Data Mining, Bayesian Statistics

    Intermediate · Course · 1 - 3 Months

  • M

    Maven Analytics

    Complete Visual Guide to Machine Learning

    Skills you'll gain: Unsupervised Learning, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Model Training, Applied Machine Learning, Time Series Analysis and Forecasting, Data Analysis, Model Optimization, Classification Algorithms, Statistical Analysis, Data Science, Machine Learning Methods, Forecasting, Statistical Methods, Data Preprocessing, Data Mining, Machine Learning, Supervised Learning, Business Intelligence

    Beginner · Course · 1 - 3 Months

  • E

    EDUCBA

    Analyze Financial Fraud Using Machine Learning Analytics

    Skills you'll gain: Financial Data, Data-Driven Decision-Making, Profit and Loss (P&L) Management, Banking Services, Risk Modeling, Decision Intelligence, Lending and Underwriting, Financial Statement Analysis, Applied Machine Learning, Financial Systems, Consumer Lending, Operational Analysis, Loans, Anomaly Detection, Statistical Machine Learning, Financial Regulation, Regulatory Compliance, Benchmarking

    Beginner · Course · 1 - 4 Weeks

  • E

    Edureka

    Applied Machine Learning Without Coding

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Data Science, Statistical Modeling, Predictive Modeling, Machine Learning Methods, Exploratory Data Analysis, Machine Learning, Data Analysis, Applied Machine Learning, Machine Learning Software, Feature Engineering, Random Forest Algorithm, Supervised Learning, Logistic Regression, Data Processing, Model Optimization, Data Manipulation, Data Visualization

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Evaluate & Swap Models in Java ML

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Classification Algorithms, Model Deployment, Machine Learning Software, Applied Machine Learning, Machine Learning Algorithms, Java, Software Design Patterns, Data-Driven Decision-Making, Logistic Regression, Business Metrics, Benchmarking, Decision Tree Learning, Matrix Management, Business

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Product Analytics for Prioritization & Data-Driven Decisions

    Skills you'll gain: Data Storytelling, Data Presentation, Conversion Funnel Analysis, Strategic Prioritization, Web Analytics, Product Roadmaps, Business Analytics, Analytics, Predictive Modeling, Prioritization, Customer Analysis, Root Cause Analysis, Performance Analysis, Forecasting, User Flows, Performance Metric, Customer Retention, Data Capture, Resource Allocation, Statistical Methods

    Intermediate · Course · 3 - 6 Months

  • P

    Packt

    Machine Learning Foundations

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Model Training, Machine Learning Methods, Dimensionality Reduction, Data Preprocessing, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Model Optimization, Recurrent Neural Networks (RNNs), Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    ML: Build, Train, Justify Models

    Skills you'll gain: Model Training, Predictive Modeling, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Statistical Modeling, Predictive Analytics, Technical Communication

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Octave for Machine Learning: Data Analysis Mastery

    Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Graphing, Scripting Languages, Data Visualization Software, Scalability, Code Reusability, Text Mining, Statistical Analysis, Time Series Analysis and Forecasting, Matlab, Mathematical Software, File I/O, Software Installation, Numerical Analysis, Mathematical Modeling, Predictive Modeling, Python Programming, Data Analysis

    Beginner · Specialization · 1 - 3 Months

  • E

    EDUCBA

    Analyze and Predict Card Purchases Using R

    Skills you'll gain: Predictive Modeling, Model Evaluation, Predictive Analytics, Classification And Regression Tree (CART), Statistical Modeling, Risk Modeling, Advanced Analytics, Decision Tree Learning, Data Analysis, R Programming, Model Training, Logistic Regression, Feature Engineering, Model Deployment, Data Import/Export, Data Mining, Data Validation, Exploratory Data Analysis, Data Persistence, Data Wrangling

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Regression and Classification

    Skills you'll gain: Statistical Modeling, Statistical Machine Learning, Data Science, Statistical Methods, Classification And Regression Tree (CART), Statistical Analysis, Model Evaluation, Regression Analysis, Predictive Modeling, R Programming, Statistical Inference, Logistic Regression, Model Training, Machine Learning, Classification Algorithms, Supervised Learning, Unsupervised Learning, Machine Learning Algorithms

    ★ 3.9 (16) · Intermediate · Course · 1 - 3 Months

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

  • Mastering Categorical Data Analysis with SAS: EDUCBA
  • NLP – Machine Learning Models in Python: Packt
  • Complete Visual Guide to Machine Learning: Maven Analytics
  • Analyze Financial Fraud Using Machine Learning Analytics: EDUCBA
  • Applied Machine Learning Without Coding: Edureka
  • Evaluate & Swap Models in Java ML: Coursera
  • Product Analytics for Prioritization & Data-Driven Decisions: Coursera
  • Machine Learning Foundations: Packt
  • ML: Build, Train, Justify Models: Coursera
  • Octave for Machine Learning: Data Analysis Mastery: EDUCBA

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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