Telecom Customer Churn Detection and Total Billing Charges Prediction using Machine Learning-Based Classification and Regression Member： Wei Xiaoting 24232389 Lee Sijie S2018064 Liu Yiqian 24229675 Mohammad Irfanul Haque S2012063 Shi Hui 25070378

Exploratory data analysis of the Coursera SwiftKey dataset, including data cleaning, word frequency analysis, n-grams, and plans for building a predictive text model and Shiny application.

Predictive analytics on Google Play Store apps using machine learning to predict ratings and classify popularity. Implements GLMNET, Random Forest, and XGBoost models with comprehensive EDA and data preprocessing. Provides insights for app development strategies based on category, pricing, size, and install patterns.

LINEAR ALGEBRA (MATH 402)

This project focuses on building robust predictive models which will help understand the key variables that influence glycemic control and diabetes risk, paving the way for more effective early intervention strategies and better management of diabetes.

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Kelompok 8: - Isnaini Nur Hasanah (52240005) - Joans Henky Servatius Simanullang (52240017) ITSB