Logistic Regression

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Introduction to Machine Learning (Coursera) Coursera
Duke University

Introduction to Machine Learning (Coursera)

Discover the basics of machine learning with our beginner-friendly course. Explore key concepts such as logistic regression, neural networks, and natural language processing. Gain practical experience applying these techniques to real-world challenges in healthcare, image recognition, and beyond.

Jun 12th 2026
5-12 Weeks
Regression Models (Coursera) Coursera
Johns Hopkins University

Regression Models (Coursera)

Dive into Regression Models, a crucial course for aspiring data scientists on Coursera. Explore linear assumptions, learn how to relate outcomes to predictors effectively using regression analysis, and understand the principles of least squares and statistical inference. This course is perfect for those looking to deepen their understanding of essential statistical tools.

Jun 8th 2026
4 Weeks
Deep Neural Networks with PyTorch (Coursera) Coursera
IBM

Deep Neural Networks with PyTorch (Coursera)

Dive into the world of deep learning and master the powerful PyTorch framework with our expert-led course. From understanding basic concepts like tensors and automatic differentiation, to implementing complex models such as convolutional networks and recurrent neural networks, you'll gain a thorough understanding of building state-of-the-art deep learning solutions.

Jun 8th 2026
5-12 Weeks
Predictive Modeling with Logistic Regression using SAS (Coursera) Coursera
SAS

Predictive Modeling with Logistic Regression using SAS (Coursera)

Discover how to harness the power of SAS/STAT for effective predictive modeling with our 'Predictive Modeling with Logistic Regression using SAS' course. Learn to build and assess models, handle missing data, and optimize your approach for large datasets. Perfect for data scientists and analysts looking to enhance their skills in logistic regression.

Jun 8th 2026
5-12 Weeks
Regression Modeling Fundamentals (Coursera) Coursera
SAS

Regression Modeling Fundamentals (Coursera)

Dive into the world of statistical analysis with our Regression Modeling Fundamentals course. Perfect for SAS software users, this course will guide you through essential techniques such as t tests, ANOVA, linear regression, and even introduce you to logistic regression. Whether you're new to statistical analyses or looking to refine your skills, this course provides a solid foundation.

Jun 8th 2026
3 Weeks
Machine Learning Algorithms with R in Business Analytics (Coursera) Coursera
University of Illinois at Urbana-Champaign

Machine Learning Algorithms with R in Business Analytics (Coursera)

Dive into the world of Machine Learning Algorithms with R in Business Analytics on Coursera. This course provides a solid foundation in machine learning techniques, focusing on practical applications that can drive actionable insights for businesses. Learn why machine learning is crucial and how to use it effectively with R programming language.

Jun 8th 2026
4 Weeks
Machine Learning Basics (Coursera) Coursera
Sungkyunkwan University - SKKU

Machine Learning Basics (Coursera)

Embark on an enlightening journey into the world of Machine Learning Basics with this expert-led Coursera course. Designed for those new to artificial intelligence, this course covers essential topics such as K nearest neighbor method, linear regression, and model analysis. With hands-on Python programming exercises and a strong mathematical foundation required, you'll gain a solid understanding of machine learning principles that can be applied across various fields.

Jun 8th 2026
4 Weeks
Analysis and Interpretation of Data (Coursera) Coursera
Queen Mary University of London

Analysis and Interpretation of Data (Coursera)

Embark on a journey into the world of data analysis with our expert-led course. From data preparation and description to mastering both quantitative and qualitative analysis techniques, this course is designed for those eager to unlock the power of data interpretation. Perfect for beginners and professionals alike, gain valuable skills in understanding and utilizing data effectively.

Jun 8th 2026
4 Weeks
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