K12 Donor Analysis
Identifying exciting donation projects for K12 schools using Logistic Regression, Random Forest, and Gradient Boosting methods. Then, segmenting donors using clustering to create potential marketing strategies.
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Identifying exciting donation projects for K12 schools using Logistic Regression, Random Forest, and Gradient Boosting methods. Then, segmenting donors using clustering to create potential marketing strategies.
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Forecasting bike demand in the city using Time Series ARIMA Models to understand demand trends
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