Ready to dive deep into the world of
Artificial Intelligence
Machine Learning (AIML)?
Welcome to Session 78 of our End-to-End Machine Learning Application series! In this session, we explore Logistic Regression—a popular machine learning algorithm for classification problems.
In this video, you’ll learn:
What is Logistic Regression and when to use it.
Understanding the mathematical intuition behind logistic regression.
How to build and interpret a logistic regression model.
Practical implementation in Python, including step-by-step coding.
Techniques for model evaluation, such as confusion matrix, precision, recall, and ROC-AUC.
This session is designed for data science and machine learning enthusiasts, offering detailed coding demonstrations and real-world case studies to help you gain a deep understanding of classification models.
Join us as we guide you through the key concepts and applications of Logistic Regression. Don’t forget to like, subscribe, and hit the notification bell for more AI/ML tutorials and practical sessions!
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