Skip to content

Worked on the following topics:- Dealing with class imbalance using SMOTE while detecting credit fraud using machine learning models; anomaly detection for time-series using ARMA and PCA; detecting anomalies in network traffic data and hashing for counting occurrences of unique events in large streams of data; adversarial machine learning to dea…

Notifications You must be signed in to change notification settings

adityakunar/Cyber-Data-Analytics

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

77 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Cyber Data Analytics Project-

This repository consists solving tasks relating to the following topics-

  1. Assignment 1- Learned how to dealing with class imbalance using SMOTE and applied ML techniques for credit fraud detection.
  2. Assignment 2- Executed anomaly detection for time-series using ARMA and PCA techniques.
  3. Assignment 3- Detected anomalies in network traffic data and understood how to use hashing for counting occurrences of unique events in large streams of data.
  4. Assignment 4- Made use of adversarial machine learning to deal with adversarially modified samples using dfgsm.

About

Worked on the following topics:- Dealing with class imbalance using SMOTE while detecting credit fraud using machine learning models; anomaly detection for time-series using ARMA and PCA; detecting anomalies in network traffic data and hashing for counting occurrences of unique events in large streams of data; adversarial machine learning to dea…

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 100.0%