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To deepen your understanding of fraud detection and machine learning, continue exploring topics such as:

  • Python for Data Science
  • Exploratory Data Analysis (EDA)
  • Logistic Regression
  • Classification Algorithms
  • Feature Engineering
  • Imbalanced Dataset Handling
  • Model Evaluation Techniques

Working with additional financial datasets and experimenting with different classification models will help strengthen your practical machine learning skills.

And to gain hands-on experience with data analysis, visualization, machine learning, and real-world datasets, you can explore HCL GUVI's IIT-M Pravartak Certified Data Science Course. The program focuses on practical learning through projects that help learners develop industry-relevant skills.