Here in this post, we will see the maths behind Principal Component Analysis using Python and then will also see how to implement it using Sklearn library. Whatever you do in your day to day life, you are generating a tremendous amount of data that can be used by business to improve their products, to […]

## Dimension Reduction with Principal Component Analysis (PCA)

Here, in this post, we’ll see how to perform Dimension Reduction with Principal Component Analysis (PCA) using Sklearn library and also learn basic idea about dimension reduction and Principal Component Analysis (PCA). Data is everywhere. Whatever you do in your day to day life will generate a tremendous amount of data that can be used by […]

## Applying Linear Regression to Boston Housing Dataset

In this post, we will apply linear regression to Boston Housing Dataset on all available features. In our previous post, we have already applied linear regression and tried to predict the price from a single feature of a dataset i.e. RM: Average number of rooms. We are going to use Boston Housing dataset which contains information […]