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http://localhost:8080/xmlui/handle/123456789/300| Title: | Predictive Analytics: A study of its Advantages and Applications |
| Authors: | Goel, Neha |
| Keywords: | Machine Learning Dataset |
| Issue Date: | 2022 |
| Publisher: | IARS' International Research Journal |
| Abstract: | e science of predictive analytics gives a line of future insight developed in the area of data analytics. rough 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, paII. Why Predictive Analysis II. Why Predictive Analysis ttern recognition. Machine Learning works on the idea of identifying the best suitable model for the data. |
| Description: | 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 then 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. |
| URI: | http://localhost:8080/xmlui/handle/123456789/300 |
| Appears in Collections: | VSIT |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| NEHA GOEL.pdf | 495.67 kB | Adobe PDF | View/Open |
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