Humankind's survival and standard of living have been enhanced through technology. We aim to produce new and original content every day. In the banking industry, the candidate receives proofs/backup prior to the loan amount being approved, therefore we have machines to support our lives and somewhat complete us. The system's use of the candidate's history data determines whether or not the application is granted. Numerous individuals ask for loans in the banking industry every day, yet the bank's resources are constrained. Using a classes-function algorithm in this situation would be quite...

The sales volume and revenue numbers for each individual product is now tracked by large supermarket run-centers known as Big Marts, in order to forecast possible domestic consumption and revise inventory control. By exploring the database server of the data warehouse, inconsistencies and broad patterns are frequently found. The statistics may be utilised by businesses like Big Mart to forecasting potential product sales using a variety of methods involving machine learning. In this project, we have used multiple machine learning algorithms like Linear Regression, Ridge regression, Lasso...