Fundamentals of Machine Learning: A Pythonic Introduction/

...

Regression

Get familiar with regression, understand how it’s different from classification, and how to use it for predicting the target.

We'll cover the following...

Regression

Regression is a technique that creates a mapping function to approximate the relationship between a real number as a target label and its input features.

In other words, given a dataset $D=\{(\bold{x_1},\bold{y_1}),(\bold{x_2},\bold{y_2}),...,(\bold{x_n},\bold{y_n})\}$ , where $\bold{x_i}$ and $\bold{y_i}$ represent input and target, respectively, a regression function will be:

{\bold{\hat y_i}=f(\bold{x_i}) \;\;\;\;\;\; \forall i}

Course Overview

Supervised Learning

Detect Cyber Intrusion Using Machine Learning

Clustering

Project: Bag of Visual Words

Generalized Linear Regression

Face Recognition Using Kernel Linear Discriminant

Support Vector Machine

Logistic Regression

Ensemble Learning

Early Stage Diabetes Prediction Using Ensemble Learning

Decoding Dimensions: PCA and Autoencoders

Image Reconstruction Using PCA

Image Colorization using Autoencoders

Colorful Face Generation with VAEs

Appendix

Wrapping Up

How to Predict the Traffic Volume Using Machine Learning

Regression

Regression