Vaibhav Shikhar Singh's Projects
For Beginners learning Git and git hub basics. No Spam!
hacktoberfest2021
depending upon some attributes we have to build a predictive model and find out the sales of each product at a particular store
Boston House Prices Dataset was collected in 1978 and has 506 entries with 14 attributes or features for homes from various suburbs in Boston.
This is a simple repository of an upcoming bug solving website.
C++ Program
It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase
A Personal One Page Identity Template
I have analysed the iris dataset by using coorelation matrix, scatterplots finding the key insights in the data and then trained the dataset with 3 algorithms finally reaching the 100% accuracy.
Its front end is developed in xml and back end in Kotlin all compiled throughout in Android studio well its a basic app but learnt and tried a lot of things in it.
portfolio for open source subject
I have designed a Term deposit prediction system for banks using Data Science Algorithms as for which of the customers from the banks will be willing to take term deposits as Term deposits are a major source of income for a bank. A term deposit is a cash investment held at a financial institution. Your money is invested for an agreed rate of interest over a fixed amount of time, or term. The bank has various outreach plans to sell term deposits to their customers such as email marketing, advertisements, telephonic marketing and digital marketing. Telephonic marketing campaigns still remain one of the most effective way to reach out to people. However, they require huge investment as large call centers are hired to actually execute these campaigns. Hence, it is crucial to identify the customers most likely to convert beforehand so that they can be specifically targeted via call.
From the data set provided i have used some of the attributes to predict which of the passenger survived in the disaster.