Machine Learning with R

Purpose of this tutorial is to get familiar with R programming and how it is used to do machine learning...

Read More

Chi-Square Test – Goodness of Fit

Chi-Square test is a non-parametric test that is performed on 1 categorical variable. Non-parametric means- data is not required to...

Read More

R – Data Structures

Data Types / Data Structures There are many types of data structures in R. Data structure means the kind of...

Read More

Getting Started

The purpose of Analysis is to make informative decisions out of data.

Data can be of 2 forms, Structured and Unstructured.

Structured data means that data is in forms of tables and rows which we see in excel sheets most of the time.

Unstructured data is the data which is expanding and is in a form of texts, images, audios and videos. We can say an image we post on Facebook is kind of unstructured data.

In earlier days, we worked on statistics.

Now, why is there a need for Data Science?

It is because Data Scientist mostly make predictions based on data which can be both structured and unstructured.

We will be learning all about this field of Analytics.

We have classified the learning into 2 segments.

1. MACHINE LEARNING WITH R

2. STATISTICS TESTS

 

 

 

 

 

Leave a Reply

avatar
  Subscribe  
Notify of