DataScience- projects

Overview

Descriptive Analysis

It helps in accurately displaying data points for patterns that may appear that satisfy all of the data’s requirements. In other words, it involves organizing, ordering, and manipulating data to produce information that is insightful about the supplied data. It also involves converting raw data into a form that will make it simple to grasp and interpret.

Predictive Analysis

It is the process of using historical data along with various techniques like data mining, statistical modeling, and machine learning to forecast future results. Utilizing trends in this data, businesses use predictive analytics to spot dangers and opportunities.

Diagnostic Analysis

It is an in-depth examination to understand why something happened. Techniques like drill-down, data discovery, data mining, and correlations are used to describe it. Multiple data operations and transformations may be performed on a given data set to discover unique patterns in each of these techniques. 

Prescriptive Analysis

Prescriptive analysis advances the use of predictive data. It foresees what is most likely to occur and offers the best course of action for dealing with that result. It can assess the probable effects of various decisions and suggest the optimal course of action. It makes use of machine learning recommendation engines, complicated event processing, neural networks, simulation, graph analysis, and simulation.