Theoretical Machine Learning From Scratch – Linear Models
Learn the theory and math behind Linear and Logistic regression and also learn to code them from scratch
What you’ll learn
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Understand the math behind linear models particularly linear and logistic regression
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Uncover the black box understand the inner workings of linear and logistic regression
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Understand gradient descent in a great detail and apply it to solving problems
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Learn to apply the linear models to machine learning problems and use cases
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Code everything from scratch without using any ready made machine learning library
Requirements
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Basic to intermediate programming skills(program flow, conditional statements, looping, object oriented approach)
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Taking derivative and partial derivatives using calculus
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Some basic probability and statistics
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Basic linear algebra(matrix multiplication)
Who this course is for:
- This course is meant for people who want to go beyond the basic understanding of machine learning paradigms and dive deeper into the math and theory
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