In this post we will see a simple application in C# implementing the linear regression algorithm on a set of data created by the user. A linear regression is one of the easiest statistical models in machine learning. Linear regressions can be used in business to evaluate trends and make estimates or forecasts, It is used to show the linear relationship between a dependent variable and one or more...
How to manipulate an enormous Data Set
Data Preparation is the core of data science and it is crucial for any data analysis. It involves data cleansing and feature engineering. Usually, this takes 60 to 80 percent of the whole analytical pipeline. However, it is a mandatory task in order to get the best accuracy from machine learning algorithms on your data-sets [1]. The first part of this process is the Data Cleansing is the process...
