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”
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.
In this tutorial we will discuss about structure of Linear regression and how a Linear regression Equation is constructed for 2 variable model.
This tutorial talks about various measures of accuracy in in various predictive analytics and machine learning scenarios. It also talks about potential pitfall of over fitting resulting in memorization vs the learning which is desirable.
The tutorial introduces you to the basics of machine learning and different types of machine learning algorithms and how to kick start career in the field of data science by understanding the basics.
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.