In this post, I would like to share my insights of how machine learning can be used to predict whether a credit card transaction is fraudulent. Credit Card Fraud Prediction using Machine Learning
The domain of fraud detection in credit card transactions presents several challenges. With the overwhelming number of credit card transactions processed each day, machine learning algorithms and techniques need to have very high accuracy which are scalable in order to handle the gigantic volumes of data.
Another challenge would be the difficulty to detect the frauds in the recorded credit card dataset as data is skewed on a higher level. This leads to an imbalanced dataset where the number of genuine credit card transactions is much more than the fraudulent ones.
In this post, I would like to share my insights of how machine learning can be used to predict whether a credit card transaction is fraudulent.
Linear Regression VS Logistic Regression (MACHINE LEARNING). Linear Regression and Logistic Regression are two algorithms of machine learning and these are mostly used in the data science field.
What is neuron analysis of a machine? Learn machine learning by designing Robotics algorithm. Click here for best machine learning course models with AI
AI, Machine learning, as its title defines, is involved as a process to make the machine operate a task automatically to know more join CETPA
Ever wondered about classifying classes automatically, here is Naïve Bayes algorithm which does it for you.
You got intrigued by the machine learning world and wanted to get started as soon as possible, read all the articles, watched all the videos, but still isn’t sure about where to start, welcome to the club.