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Data-Science-Projects

Using Logistic Regression and Random Forest to identify the set of customers who are likely to churn

Using Naive Bayesian Model to classify messages as spam or ham

Perform EDA to summarize the characteristics of projects on Kickstarter and use Random Forest to predict whether projects will be successful or failed

Using Convolution Neural Network(CNN) to create a model that can classify a set of new images as cats or dogs

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