October 20th, Q&A session: Get you issues solved and questions answered!

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Introduction

Regression is a ML algorithm that can be trained to predict real numbered outputs, like temperature, stock price, etc. Regression is based on a hypothesis that can be linear, quadratic, polynomial, non-linear, etc. The hypothesis is a function that is based on some hidden parameters and the input values.

All existing training algorithms presented in this section are designed to solve regression tasks:

  • Linear Regression

  • Decision Trees Regression

  • k-NN Regression