Imperial College London
Statistical Analysis with R for Public Health
Master Statistics for Public Health and Learn R
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Logistic Regression courses 75
Learn Logistic Regression online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
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CodeSignal
Implementing AI Algorithms from Scratch
Build core artificial intelligence and machine learning algorithms from scratch to understand how they work beneath high-level libraries. This advanced path covers neural networks, clustering, ensembles, optimization, classification, and regression.
- edX
- Self-paced
- Free to audit
- Paid certificate
- Advanced
Universidad del Rosario
Introducción a Machine Learning
4.05 ratingsConoce los conceptos básicos del aprendizaje automático de máquinas, usando un acercamiento algebraico. Aborda problemas de regresión, clasificación y agrupamiento, desde modelos lineales hasta modelos no-lineales utilizando redes neuronales artificiales.
- edX
- Self-paced
- Free to audit
- Paid certificate
- Beginner
Mass General Brigham University of Health Professions
Regression Models in Healthcare
In this course, you will begin learning about more advanced multivariate statistical methods that are regularly used in healthcare data analysis and practice applying them to healthcare data in the statistical programming software R. Some of the topics covered in this course include non-linear tren…
- edX
- 4 weeks, 2 - 4 hours per week
- Self-paced
- Free to audit
- Paid certificate
- Intermediate
CodeSignal
Introduction to Machine Learning with SciKit Learn
Build a practical foundation in machine learning with scikit-learn, from data preprocessing to model training and evaluation. Explore regression, classification, ensembles, cross-validation, and hyperparameter tuning.
- edX
- Self-paced
- Free to audit
- Paid certificate
- Intermediate
- Coursera
- Self-paced
- Paid · free trial
- Paid certificate
University of Colorado Boulder
Generalized Linear Models and Nonparametric Regression
In the final course of the statistical modeling for data science program, learners will study a broad set of more advanced statistical modeling tools. Such tools will include generalized linear models (GLMs), which will provide an introduction to classification (through logistic regression); nonpar…
- Coursera
- Self-paced
- Paid · free trial
- Paid certificate
University of Maryland, College Park
Combining and Analyzing Complex Data
In this course you will learn how to use survey weights to estimate descriptive statistics, like means and totals, and more complicated quantities like model parameters for linear and logistic regressions. Software capabilities will be covered with R® receiving particular emphasis. The course will…
- Coursera
- Self-paced
- Paid · free trial
- Paid certificate
University of Colorado Boulder
Classification Analysis
The "Classification Analysis" course provides you with a comprehensive understanding of one of the fundamental supervised learning methods, classification. You will explore various classifiers, including KNN, decision tree, support vector machine, naive bayes, and logistic regression, and learn how…
- Coursera
- 5-7 hours/week
- Self-paced
- Paid · free trial
- Paid certificate
University of Colorado Boulder
Introduction to Machine Learning: Supervised Learning
Introduction to Machine Learning: Supervised Learning offers a clear, practical introduction to how machines learn from labeled data to make predictions and decisions. You’ll build a strong foundation in regression and classification, starting with linear and logistic regression and progressing to…
- Coursera
- 5 - 6 weeks of study
- Self-paced
- Paid · free trial
- Paid certificate
Universidad del Rosario
Machine learning en acción: aprendizaje supervisado y no supervisado
Domina el futuro con nuestro curso de Machine Learning : aprende desde cero los fundamentos del aprendizaje supervisado y no supervisado, entiende algoritmos clave de clasificación, regresión y clustering, y conviértete en un profesional capaz de predecir datos reales y crear soluciones innovadoras…
- edX
- Self-paced
- Free to audit
- Paid certificate
- Intermediate
CodeSignal
Introduction to Natural Language Processing
Build a practical foundation in natural language processing using Python. Learn to explore, preprocess, vectorize, and classify text data with common machine learning techniques.
- edX
- Self-paced
- Free to audit
- Paid certificate
- Intermediate
SAS
Regression Modeling Fundamentals
This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.
- Coursera
- Self-paced
- Paid · free trial
- Paid certificate
SAS
Predictive Modeling with Logistic Regression using SAS
This course covers predictive modeling using SAS/STAT software with emphasis on the LOGISTIC procedure. This course also discusses selecting variables and interactions, recoding categorical variables based on the smooth weight of evidence, assessing models, treating missing values, and using effici…
- Coursera
- Self-paced
- Paid · free trial
- Paid certificate
Arizona State University
Classification and Planned Experiments
Welcome to Classification and Planned Experiments. This course will first contrast regression models with classification models, which have broad application in machine learning. It will then introduce basic classification techniques, focusing on K-nearest neighbor, and logistic regression. You wil…
- Coursera
- Self-paced
- Paid · free trial
- Paid certificate
SAS
Introduction to Statistical Analysis: Hypothesis Testing
This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.
- Coursera
- Self-paced
- Paid · free trial
- Paid certificate
National Taiwan University
商管統計資料分析三 (Analytics for Business and Management (III))
本課程為三模組系列課程之第三模組。 此系列課程專門教授各種線性迴歸形式 (regression-type) 的統計分析模型與技術。此系列課程以大量多樣之商管實務案例進行解說，並以 R 統計語言進行建模分析，提供完整的命令稿 (script) 與資料集讓同學們實地操作演練，培養統計分析思維與實戰技能。 本第三模組為高階課程，著重於二元資料 (binary data) 與計數資料 (counted data) 的建模策略與應用，從二元反應變數的基本分析，到 GLM 架構下的邏輯斯迴歸 (Logistic Regression) 與對數線性迴歸 (Log-Linear Regression)，涵蓋…
- Coursera
- Self-paced
- Paid · free trial
- Paid certificate
Coursera
Diabetes Prediction With Pyspark MLLIB
In this 1 hour long project-based course, you will learn to build a logistic regression model using Pyspark MLLIB to classify patients as either diabetic or non-diabetic. We will use the popular Pima Indian Diabetes data set. Our goal is to use a simple logistic regression classifier from the pyspa…
- Coursera
- 1.5 hours
- Self-paced
- Paid · free trial
- Paid certificate
Coursera
Logistic Regression with NumPy and Python
Welcome to this project-based course on Logistic with NumPy and Python. In this project, you will do all the machine learning without using any of the popular machine learning libraries such as scikit-learn and statsmodels. The aim of this project and is to implement all the machinery, including gr…
- Coursera
- 1.5 hours
- Self-paced
- Paid · free trial
- Paid certificate
Coursera
Titanic Survival Prediction Using Machine Learning
In this 1-hour long project-based course, we will predict titanic survivors’ using logistic regression and naïve bayes classifiers. The sinking of the Titanic is one of the key sad tragedies in history and it took place on April 15th, 1912. The numbers of survivors were low due to lack of lifeboats…
- Coursera
- 2 hours
- Self-paced
- Paid · free trial
- Paid certificate