Inspiration
Our team was tasked with addressing the challenge outlined in the case study: to predict and analyze customer churn for a nationally renowned wealth management platform using machine learning. We recognize the importance of customer retention in sustaining and enhancing Infinite Investment Systems’ continued growth and success. Customer churn prediction means knowing which customers are likely to leave or unsubscribe from Infinite Investment Systems’ services. Thus, the primary objective is to devise algorithms that can help us predict and analyze which customers are likely to churn so that we can enable proactive marketing strategies to retain valuable clientele.
What it does
Our team was able to build multiple classification models, which were then evaluated against each other for the best possible model to predict customer churn
Further details here
Built With
- matplotlib
- numpy
- pandas
- python
- scikit-learn
- seaborn
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