This folder contains all of my Data Science Projects, that can be used "as is" or can be further improvized as well.
• Customer Churn Model - This is the most basic version of customer churn model created using random forest algorithm.
• Customer Churn Naive Bayes - This is another version of the customer churn model which is created using the naive bayes classifier
• New Data (EDA) - This jupyter notebook showcases the Pandas Profile Report functionality to perform EDA by typing in few lines of code
• Fake Album Classifier - Is a fun practice project.