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Tech Stack for Credit Card Fraud Detection Using Python

Tech Stack Used

The project uses the following technologies and Python libraries.

Python

Python is the primary programming language used for data preprocessing, machine learning, and visualization.

Google Colab

Google Colab provides the cloud environment where all notebooks are executed.

Pandas

Used for:

  • Loading datasets
  • Cleaning data
  • Data manipulation
  • Statistical summaries

NumPy

Supports numerical computations and array operations.

Matplotlib

Creates visualizations such as:

  • Histograms
  • Line charts
  • Bar charts
  • Scatter plots

Seaborn

Provides statistical visualizations including:

  • Correlation heatmaps
  • Count plots
  • Distribution plots

Scikit-learn

Used for:

  • Data preprocessing
  • Train-test splitting
  • Logistic Regression
  • Model evaluation