https://github.com/ayax537/codsoft-task2

Second task on CodSoft Internship Transaction Fraud Detection! During my CodSoft internship, I worked on a challenging project focused on detecting fraudulent credit card transactions
https://github.com/ayax537/codsoft-task2

data-modelling data-visualization eda machine-learning model-evaluation

Last synced: 30 days ago
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Second task on CodSoft Internship Transaction Fraud Detection! During my CodSoft internship, I worked on a challenging project focused on detecting fraudulent credit card transactions

• Host: GitHub
• URL: https://github.com/ayax537/codsoft-task2
• Owner: ayax537
• Created: 2023-11-13T14:50:18.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-11-11T09:42:16.000Z (about 2 months ago)
• Last Synced: 2024-11-11T10:34:19.715Z (about 2 months ago)
• Topics: data-modelling, data-visualization, eda, machine-learning, model-evaluation
• Language: Python
• Homepage:
• Size: 1.95 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# CodSoft-task2

📣Second task on CodSoft Internship

Transaction Fraud Detection! 

During my CodSoft internship, I worked on a challenging project focused on detecting fraudulent credit card transactions. Here's a glimpse of what I did:

Project Context: Developed an efficient system to spot fraudulent transactions.

Exploratory Data Analysis (EDA): Uncovered hidden patterns and correlations in the dataset.

Data Modeling and Prediction: Preprocessed the data, used SMOTE to address class imbalance, and built a Logistic Regression Model for fraud detection.

Model Evaluation: Rigorously trained and fine-tuned the model, ensuring its effectiveness in detecting fraudulent transactions.