This tutorial is a set of 15 hour videos by acclaimed experts in the area of machine learning and statistics from Stanford. It is suitable for Beginners as well as experts Continue reading “Tutorial : Beginner to advanced machine learning in 15 hour Videos”
In this tutorial we will learn how to interpret another very important measure called F-Statistic which is thrown out to us in the summary of regression model by R.
This tutorial talks about interpretation of the most fundamental measure reported for models which is R Squared and Adjusted R Squared. We will try to give a clear guidelines for interpreting R Squared and Adjusted R Squared
In this tutorial we will discuss about effectively using diagnostic plots for regression models using R and how can we correct the model by looking at the diagnostic plots.
In this tutorial we will learn a very important aspect of analyzing regression i.e. Residual Analysis. Residual Analysis is a very important tool used by Data Science experts , knowing which will turn you into an amateur to a pro.
Continue reading “R Tutorial : Residual Analysis for Regression”
This tutorial goes one step ahead from 2 variable regression to another type of regression which is Multiple Linear Regression. We will go through multiple linear regression using an example in R
In this tutorial we will try our hands on a very basic 2 variable linear regression using R. We will also learn how to interpret output given by R and tryout various visualizations required for interpreting simple Linear regression.
This Tutorial talks about basics of Linear regression by discussing in depth about the concept of Linearity and Which type of linearity is desirable.
This R Tutorial builds on the previous R tutorial and arms you with few more fundamental analysis tools for capturing essence of data. This will go a long way in understanding the data more.
This First R Tutorial aims at introducing you to the fascinating world of Data Science and Analytics using the almighty tool called R. You will be aided with how to do steps which you can follow and work with.