Logistic Regression Courses and Certifications

Machine Learning with Logistic Regression in Excel, R, and Power BI

47 ratings at LinkedIn Learning

Learn how to perform logistic regression using R and Excel and use Power BI to integrate these methods into a scalable, sharable model.

• LinkedIn Learning
• 2-3 hours
• On-Demand
• Free Trial Available

Serrano.Academy

Logistic Regression and the Perceptron Algorithm - A Friendly Introduction

Friendly introduction to logistic regression and perceptron algorithm, covering key concepts like data classification, gradient descent, and neural networks with minimal math and visual explanations.

• YouTube
• 45 minutes
• On-Demand
• Free Video

Society for Industrial and Applied Mathematics

What Sparsity and L1 Optimization Can Do for You

Explore sparsity, compressive sensing, and l1 optimization's impact on science, technology, and machine learning. Learn fast algorithms and applications in PDE, data collection, and image processing.

• YouTube
• 59 minutes
• On-Demand
• Free Video

Great Learning

Supervised Machine Learning Tutorial - Logistic Regression - Naive Bayes Classifier

Explore logistic regression and Naive Bayes classifiers for supervised machine learning. Learn their advantages, applications, and implementation in classification tasks for data-driven decision making.

• YouTube
• 2 hours 58 minutes
• On-Demand
• Free Video

Pascal Poupart

Logistic Regression and Generalized Linear Models

Explore exponential family models, logistic regression, and Newton's method for classification tasks, with applications in app recommendation and sparse data analysis.

• YouTube
• 1 hour 35 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

Logistic Regression Implementation in R for Automotive Crash Testing

Implement logistic regression in R for automotive crash testing, from data preparation to model evaluation and prediction.

• YouTube
• 21 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

Logistic Regression: Introduction to Binary Classification and Linear Classifiers

Master logistic regression for binary classification, covering linear classifiers, sigmoid functions, parameter estimation, and log-likelihood functions.

• YouTube
• 29 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

Qualitative Response Model: Marginal Effects and Logit Models - Part 5

Explore qualitative response models, including marginal effects and logistic regression, to analyze categorical dependent variables effectively.

• YouTube
• 33 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

Introduction to Logistic Regression

Learn about binary classification, logistic regression, and related concepts like probit and logit links in this concise introduction to fundamental statistical modeling techniques.

• YouTube
• 14 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

Logistic Regression - Continued

Explore advanced concepts and applications of logistic regression for enhanced predictive modeling and data analysis skills.

• YouTube
• 19 minutes
• On-Demand
• Free Video

UofU Data Science

Logistic Regression - Machine Learning Lecture 25

Dive into logistic regression classification, exploring maximum likelihood, posterior criteria, and loss minimization principles for effective machine learning model development.

• YouTube
• 1 hour 21 minutes
• On-Demand
• Free Video

UofU Data Science

Logistic Regression and Natural Language Processing - Tokenization and BPE

Master logistic regression fundamentals and explore text tokenization techniques including BPE, with key linguistic concepts for natural language processing applications.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Video

UofU Data Science

Machine Learning Foundations - Logistic Regression

Master logistic regression fundamentals through hands-on practice, exploring core concepts, implementation techniques, and practical applications in machine learning and data analysis.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Video

The Analytics Edge

80 reviews

Through inspiring examples and stories, discover the power of data and use analytics to provide an edge to your career and your life.

• edX
• 13 weeks, 10-15 hours a week
• On-Demand
• Free Online Course (Audit)

• Best of All Time

Statistical Learning with R

28 reviews

Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in R. Course material updated in 2021 for second edition of the course textbook.

• edX
• 11 weeks, 3-5 hours a week
• On-Demand
• Free Online Course (Audit)