Abstract
The science of predictive analytics gives a line of future insight developed in the area of data analytics. Through predictive analytics, organizations or industries can identify the patterns within the data and make future forecasts on the basis of existing data and analytics techniques such as artificial intelligence, machine learning, pattern recognition. Machine Learning works on the idea of identifying the best suitable model for the data.
Highlights
Data Processing: Based on study of datasets, best fit modeling techniques have been applied such as regression, pattern recognition, K-nearest neighbor (KNN), support vector machines etc
Fatimetou Zahra Mohamad Mahmoud demonstrated in this paper that many industries are using the concept of predictive analysis and how predictive analytics helped to achieve the solutions of many identified and unidentified problems
The predictive analytics helps in governance of time, money and resources
Summary
Predictive analysis facilitates to visualize the future and is reliable and accurate than previous tools. Predictive analysis modelling is an iterative process which applies on a dataset and based on the requirement, modelling techniques have been applied. Predictive analytics make it possible for organizations’ in determining risk in prior, opportunities, tendencies and able to make strategies for appropriate measures and this can happen only when accurate predictions done through organized and unorganized information
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