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Learn Logistic Regression online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
Great Learning
Machine Learning is at the heart of Decision Making and Data Science. It is used for various prediction models, like customer churn prediction, etc. Under its umbrella of different supervised and unsupervised algorithms lies the concept of logistic regression, which is essential in dealing with cat…
Indian Institute of Management Bangalore
Master the tools of predictive analytics in this statistics based analytics course.
Johns Hopkins University
Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions. Regression models, a subset of linear models, are the most important statistical analysis tool in a data scientist’s toolkit. This course covers regression analysis, least squares a…
Delft University of Technology
Learn the fundamentals of machine learning to help you correctly apply various classification and regression machine learning algorithms to real-life problems using the Python toolbox scikit-learn.
Imperial College London
Welcome to Logistic Regression in R for Public Health! Why logistic regression for public health rather than just logistic regression? Well, there are some particular considerations for every data set, and public health data sets have particular features that need special attention. In a word, they…
University of California San Diego
This is the second course in the four-course specialization Python Data Products for Predictive Analytics, building on the data processing covered in Course 1 and introducing the basics of designing predictive models in Python. In this course, you will understand the fundamental concepts of statist…
Dartmouth College
With Dartmouth Engineering, you’ll learn to turn data into actionable insights with Predictive Analytics for Digital Transformation. This hands-on course equips you with Python skills, predictive modeling techniques, and analytics strategies to drive innovation and efficiency in digital transformat…
University of Michigan
In this course the learner will be shown how to generate forecasts of game results in professional sports using Python. The main emphasis of the course is on teaching the method of logistic regression as a way of modeling game results, using data on team expenditures. The learner is taken through t…
University of Michigan
In this course, we will expand our exploration of statistical inference techniques by focusing on the science and art of fitting statistical models to data. We will build on the concepts presented in the Statistical Inference course (Course 2) to emphasize the importance of connecting research ques…
IBM
This course covers key supervised machine learning (ML) and classification techniques, including logistic regression, decision trees, ensemble methods, and handling unbalanced datasets. Build and evaluate classification models using real-world data.
IBM
This course is the first part in a two part course and will teach you the fundamentals of PyTorch. In this course you will implement classic machine learning algorithms, focusing on how PyTorch creates and optimizes models. You will quickly iterate through different aspects of PyTorch giving you st…
RWTH Aachen University
"Basics of Machine Learning" introduces participants to the fundamental concepts and tools of machine learning, including probability density estimation, linear regression, classification techniques, ensemble methods, and deep neural networks.
University of California, Irvine
Welcome to Predictive Modeling, Model Fitting, and Regression Analysis. In this course, we will explore different approaches in predictive modeling, and discuss how a model can be either supervised or unsupervised. We will review how a model can be fitted, trained and scored to apply to both histor…
Alison
This free online course in practical machine learning with TensorFlow will begin by introducing you to the concept of machine learning and the overview of TensorFlow. You will learn about the steps in the machine learning process, logistic regression and the loss unction in machine learning. You wi…
Imperial College London
Welcome to Survival Analysis in R for Public Health! The three earlier courses in this series covered statistical thinking, correlation, linear regression and logistic regression. This one will show you how to run survival – or “time to event” – analysis, explaining what’s meant by familiar-soundin…
University of Michigan
This course introduces learners to the analysis of binary/dichotomous outcomes. Learners will become familiar with fundamental tests for two-group comparisons and statistical inference plus prediction more broadly using logistic regression. They will understand the connection between prevalence, ri…
Duke University
Learn how to move from exploring data to modeling it with confidence. In this course, you’ll build and interpret linear and logistic regression models in R to uncover relationships, make predictions, and quantify uncertainty. You’ll begin by learning how to fit and interpret simple and multiple lin…
Google Cloud
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to implement logistic regression using a machine learning library for Apache Spark running on a Google Cloud Dataproc cluster to develop a model for data from a multivariable dataset.
University of Michigan
Wrangle, Visualize and Analyze Health Data
Statistics.com
What is Predictive Analytics? These methods lie behind the most transformative technologies of the last decade, that go under the more general name Artificial Intelligence or AI. In this course, the focus is on the skills that will allow you to fit a model to data, and measure how well it performs.…
