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Logistic Regression example
Mastering Logistic Regression: Predicting Probability 🧠⚖️
If Linear Regression is about predicting numbers, Logistic Regression is about making choices. It is the go-to algorithm for Classification, allowing machines to decide whether an email is "Spam" or "Not Spam," or if a medical test is "Positive" or "Negative."
In this deep dive, we transition from predicting continuous values to predicting categories. We’ll explore the "S-Curve," the probability math, and why this "regression" is actually a powerful classification tool.
Get the hands-on code and datasets used in this video here:
👉 GitHub Repository: https://github.com/rc1357911/data-science
Don't forget to:
✅ Subscribe for more Data Science tutorials.
👍 Like this video if it helped you understand ML better!
💬 Comment below: Which algorithm are you currently working with?
#logisticregression #MachineLearning #DataScience #Python #SupervisedLearning #UnsupervisedLearning #AI #CodingTutorial
Видео Logistic Regression example канала Get IT Jobs Easily - GITJE
If Linear Regression is about predicting numbers, Logistic Regression is about making choices. It is the go-to algorithm for Classification, allowing machines to decide whether an email is "Spam" or "Not Spam," or if a medical test is "Positive" or "Negative."
In this deep dive, we transition from predicting continuous values to predicting categories. We’ll explore the "S-Curve," the probability math, and why this "regression" is actually a powerful classification tool.
Get the hands-on code and datasets used in this video here:
👉 GitHub Repository: https://github.com/rc1357911/data-science
Don't forget to:
✅ Subscribe for more Data Science tutorials.
👍 Like this video if it helped you understand ML better!
💬 Comment below: Which algorithm are you currently working with?
#logisticregression #MachineLearning #DataScience #Python #SupervisedLearning #UnsupervisedLearning #AI #CodingTutorial
Видео Logistic Regression example канала Get IT Jobs Easily - GITJE
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21 мая 2026 г. 11:15:00
00:02:19
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