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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.
Coursera
In this 2 hours long project-based course, you will learn to build a Logistic regression model using Scikit-learn to classify breast cancer as either Malignant or Benign. We will use the Breast Cancer Wisconsin (Diagnostic) Data Set from Kaggle. Our goal is to use a simple logistic regression class…
Coursera
In this project-based course, we will build, train and test a machine learning model to predict employee attrition using features such as employee job satisfaction, distance from work, compensation and performance. We will explore two machine learning algorithms, namely: (1) logistic regression cla…
Coursera
In this project, we will predict Ads clicks using logistic regression and XG-boost algorithms. In this project, we will assume that you have been hired as a consultant to a start-up that is running a targeted marketing ad campaign on Facebook. The company wants to analyze customer behavior by predi…
EDUCBA
Build practical skills in logistic regression and supervised learning using IBM SPSS Statistics through a hands-on, application-focused learning experience. This course introduces the foundations of logistic regression while guiding you through the complete process of preparing data, configuring va…
EDUCBA
Master predictive analytics with SPSS through a structured progression from data management and descriptive statistics to correlation, linear and multiple regression, logistic regression, and multinomial regression. You will learn to import and organize datasets, calculate mean and standard deviati…
EDHEC Business School
This course will enable you mastering machine-learning approaches in the area of investment management. It has been designed by two thought leaders in their field, Lionel Martellini from EDHEC-Risk Institute and John Mulvey from Princeton University. Starting from the basics, they will help you bui…
EDUCBA
Build a strong foundation in supervised machine learning by learning how to develop, evaluate, and interpret classification models using Python. In this hands-on course, you will work with the real-world Titanic dataset to explore the complete machine learning workflow, from project setup and data…
EDUCBA
Master Logistic Regression with SAS: Build & Evaluate Models is a hands-on course that teaches you how to develop, refine, and evaluate logistic regression models using SAS. You will begin by exploring the role of logistic regression in predictive modeling, working with real-world insurance data, a…
EDUCBA
Gain a strong foundation in logistic regression and learn how to build, interpret, and evaluate predictive models for binary outcomes. This beginner-friendly course introduces the core principles of regression analysis before guiding you through the concepts and practical techniques that make logis…
EDUCBA
Master logistic regression in R and build the practical skills needed to solve real-world classification problems. In this course, you will learn how to distinguish regression from classification tasks, prepare data for modeling, build logistic regression models in R, and interpret model coefficien…
EDUCBA
Learners will identify categorical data types, analyze distributions and associations, apply exact tests, construct logistic regression models, and evaluate model performance using SAS. This comprehensive course builds the full skill set needed to work confidently with categorical data across real-…
EDUCBA
By the end of this course, learners will be able to apply advanced regression techniques, interpret outputs, diagnose model issues, and implement logistic regression for real-world business applications. They will also master statistical tools in Excel and Minitab, enabling them to perform t-tests,…
EDUCBA
By the end of this course, learners will be able to analyze customer data, evaluate predictive features, build and optimize classification models, and assess model performance to accurately predict card purchase behavior using R. Learners will develop practical skills in logistic regression and dec…
EDUCBA
Build practical machine learning skills with Python through projects based on real-world datasets. You’ll begin by setting up your environment and applying linear, polynomial, robust, and logistic regression to model relationships, optimize predictions, and solve classification problems. As you pro…
EDUCBA
Master Python Data Science Techniques
