The time-tested technique for predicting numbers, and the role of domain knowledge in machine learning.

In this video, we will learn what is linear regression in machine learning along with examples to make the concept crystal clear.

In machine learning, typically non-linear regression techniques are used. Examples of nonlinear regression algorithms include gradient descent, Gauss-Newton, and the Levenberg-Marquardt methods.

Logistic regression machine learning Logistic regression is a statistical tool that forms much of the basis of the field of machine learning and artificial intelligence, including prediction ...

Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...

Overview Understanding key machine learning algorithms is crucial for solving real-world data problems effectively.Data scientists should master both supervised ...