Sneha Balasubramoni
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  • Papers
  • Talks
  • Experience
  • Projects
  • Projects
  • Publications
    • Text Post-processing on Optical Character Recognition output using Natural Language Processing Methods
    • Natural Question Generation using Transformers and Reinforcement Learning
    • Speech Recognition using Weighted Finite-State Transducers
    • Attendance Tracking with Face Recognition Through Hidden Markov Models
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    • 👩🏼‍🏫 Teach academic courses
    • ✅ Manage your projects
  • Experience
  • Projects
    • Content Aware Image Resizing
    • ROS Line Follower Bot
    • Credit Card Fraud Detection
  • Recent Talks
    • ML Study Group Series Session 4 - Decision Trees and Random Forest
    • ML Study Group Series Session 3 - Naive Bayes and SVM
    • Small Steps with Artificial Intelligence

Credit Card Fraud Detection

Sep 18, 2021 · 1 min read
Go to Project Site

Supervised ML Algorithms to accurately detect and classify an illegitimate transaction.

Last updated on Sep 18, 2021
Machine Learning Scikit-Learn Python3
Sneha Balasubramoni
Authors
Sneha Balasubramoni
AI Data Science Engineer
← ROS Line Follower Bot Aug 12, 2022

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