# Introduction to Classification Problems in Machine Learning

In this tutorial we will talk in brief about a class of Machine learning problems – Classification Problems. We will try to establish the concept of classification and why they are so important. Continue reading “Introduction to Classification Problems in Machine Learning”

# R Tutorial : How to interpret F Statistic in Regression Models

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.

# R Tutorial : Interpretation of R Squared and Adjusted R Squared in Regression

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

# R Tutorial : How to use Diagnostic Plots for Regression Models

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.

# R Tutorial : Residual Analysis for Regression

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”

# R Tutorial : Basic 2 variable Linear Regression

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.