Polynomial Regression is a form of linear regression model but fits a non-linear relationship between the value X and Y. Basically we have to add new features to the final equation. But what features? It’s simple we can add the X1 feature as new feature: X1^2 or X1^3. If we have some input features (X1,X2,X3) [...]

I continue working with machine learning algorithms. In a previous post I talked about linear regression with one variable and I described different algorithms to predict hypothesis. In this case, I’m playing with linear regression but, with some features. Linear regression only have one input feature and one output feature. For example, you can predict the [...]

Since two months ago I’m researching about machine learning and its algorithms. The goal is get a good unsupervised and clustering algorithm to analyze every android applications and predict what application you want to install or use in a particular time. The first step is learn and understand the theory of machine learning. For this,  I began [...]