Crude Oil Exchange Prediction
| dc.contributor.author | Muhammad Tayyab Iqbal | |
| dc.contributor.author | FA15-BCS-144 | |
| dc.contributor.author | Zaheer Gondal | |
| dc.contributor.author | LHR TP 6316 | |
| dc.date.accessioned | 2026-02-20T07:08:00Z | |
| dc.date.issued | 2019-11-20 | |
| dc.description.abstract | Exchange Market have always been an unpredictable process. Every Analyst is always trying to understand the trend of the market. Over the time, many techniques have been used to predict the variating nature of the market. Main aim of the process is to acquire accuracy of the prediction. For which, there are some machine learning techniques. In this project, I will test and implement those techniques to get the most accurate prediction as possible. Predictions will assist a layman or an analyst to make a decision to either sell or buy or not. | |
| dc.identifier.uri | https://repository.cuilahore.edu.pk/handle/123456789/1979 | |
| dc.publisher | Library Information Services, COMSATS University Islamabad, Lahore Campus. | |
| dc.relation.ispartofseries | LHR TP 6316; LHR TP 6316 | |
| dc.subject | Crude Oil Exchange Prediction | |
| dc.subject | Computer science | |
| dc.subject | FA15 | |
| dc.subject | Exchange Market | |
| dc.title | Crude Oil Exchange Prediction | |
| dc.type | Thesis |