Description

You will the basics of machine learning like what is machine learning, machine learning algorithms, and implement linear regression using normal equation and gradient descent.

You will learn the difference between regression and classification.

When to use regression and when to use classification.

You will implement the linear regression using python from scratch with mathematical notation.

You will learn about bias and variance trade off

You need to have some knowledge of writing python code using Spyder IDE.

Who this course is for:

- Beginner to Machine Learning

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