dwiputris / machine-learning-anticipating-churns-a-case-of-imbalanced-data

With imbalanced observed data, a search for the best model is conducted. The bank is seeing its customers leave. Wondering if there are patterns to their decision to exit, the bank wishes to anticipate for this trend. When the positive class is the minority in an imbalanced dataset, a model need to be trained for robustness.

• 👋 Hi, I’m Dwi!
• 📫 I reside in Indonesia
• 👀 Looking for opportunity to make use of my data science/ analysis skills in solving actual real-world problems
• 🌱 Subjects that I'm looking for growth on are big data visualization, and machine learning. Happy to receive feedback and collaborate!