GitHub - ruz023/DS-Take-Home-Challenges: Used linear and tree-based models, visualizations techniques to solve commonplace data science problems, including calculating conversion rate, analyzing A/B testing, churn/retention prediction, fraud detection, funnel analysis, pricing testing, marketing campaign optimization, clustering, user referral, loan default prediction, optimization, people analytics

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Used linear and tree-based models, visualizations techniques to solve commonplace data science problems, including calculating conversion rate, analyzing A/B testing, churn/retention prediction, fraud detection, funnel analysis, pricing testing, marketing campaign optimization, clustering, user referral, loan default prediction, optimization, pe…

machine-learning optimization prediction-model fraud-detection people-analytics customer-analytics