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Class notes
Machine Learning(Regression and Classification (Coursera))
Preview 4 out of 72 pages
This document provides a clear and structured explanation of the Machine Learning Specialization course with a focus on Regression and Classification. It covers key supervised learning techniques such as linear regression, logistic regression, cost functions, and gradient descent. Important concepts like overfitting, underfitting, and regularization are explained for better model performance. The notes also discuss evaluation metrics and decision boundaries used to assess models. Overall, the document builds a strong theoretical and practical foundation in machine learning.
Document information
- Uploaded on
- December 28, 2025
- Number of pages
- 72
- Written in
- 2025/2026
- Type
- Class notes
- Professor(s)
- Unknown
- Contains
- All classes
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