Class notes
Machine Learning(Regression and Classification (Coursera))
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72
Uploaded on
28-12-2025
Written in
2025/2026
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.
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Written for
- Institution
- FAST NUCES, Lahore
- Course
- CS-471
All documents for this subject (1)
Document information
- Uploaded on
- December 28, 2025
- Number of pages
- 72
- Written in
- 2025/2026
- Type
- Class notes
- Professor(s)
- Unknown
- Contains
- All classes
Subjects
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machine learning
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supervised learning
-
regression
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classification
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linear regression
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polynomial regression
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logistic regression
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binary classificat
-
machine learning specialization
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multiple linear regression
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