Abhishek Krishna's repositories
Network-Intrusion-Detection-System
Network Intrusion System Uses ML model and a Network Sniffer script to parse real time traffic into ML attributes to predict the legitimacy of the Packets.
Advertisement
ML Project working on Logistic Regression model. Upon considering various input factors, it determines the probability of the user clicking on advertisements displayed online over the internet with the accuracy of 96%..
Loan-Repayment
Given historical data on loans given out with information on whether or not the borrower defaulted (charge-off), a model is built that can predict wether or nor a borrower will pay back their loan. This way in the future when we get a new potential customer we can assess whether or not they are likely to pay back the loan.The model has 88.74 % accuracy and
Mini-Bittorrent
This repo enables a user to download and upload large files over a network using a .mtorrent file implementing Peer2Peer protocol in C++
Spam-Classifier
Classify the mail into ham or spam based on subject of mail.