In this project, I worked with challenging dataset of fundraising data. The aim is to develop models to predict which of the donors should receive mail campaign letter.

This project is to develop models to predict risk of diabetes and evaluate them.

ISLR Chapter 09 - Problems 5, 7, 8. Work on SVM with parameter hypertuning.

ISLR chapter 7 - 3,8,9; Work on decision trees

The goal of this study is to explore and model how a book retailing company can predict whether a customer will purchase a book. Revenue analysis was performed to see how the selected model would actually impact the revenue and profit of the company

This project aims to predict prospective customers that can be acquired and predict the duration they are likely to stay with the company.

ISLR Chapter 07 : Question 6, 10

ISLR Chapter 06 - 2,9,11 - bets subset model selection, Step wise model selection, Ridge Regression, Lasso, PCR, PLS

Work on K-fold cross validation, LOOCV, bootstrap methods.

ISLR Chapter 04 - 10, 11, 13 - Logistic regression, LDA, QDA, KNN

This study seeks to apply a statistical model to predict whether a client will subscribe to a bank term deposit based on a telemarketing campaign. Moreover, we hope to identify any data inconsistency issues, determine which predictors can be useful and hence included in the modeling process and assess the accuracy of the model.

Work and Analysis on multiple linear regression models