- Simple Linear Regression With R (05 May 2019)
Regression models are used to predict real values such as salary, spending, income. Simple linear regression is a model of regression which is used to identify the correlation between two variables and possibly predict the dependent variable by using the independent variable.This will enable us to establish a relationship between two attributes such as Income and Spending and we can use what we know about the relationship to forecast unobserved values.
- Data Pre-Processing With R (04 May 2019)
Before feeding our dataSet into a machine learning algorithm it's absolutely necessary to pre-process the data where we should clean and re-shape our data to get the maximum performance from our machine learning models. In this post, I will go through a set of procedures which you can use to pre-process a data set.