Welcome to my Machine Learning Portfolio! 🔥
I apply machine learning to solve problems across customer analytics, healthcare, bioinformatics, finance and pricing models. This repository highlights projects where I've built predictive models, performing segmentation, and user-friendly applications.
- 🚗 Travel Insurance Claim Prediction - Binary Classification: Created a predictive model to identify customers likely to claim insurance from a dataset of 44,000 records.
- 🛒 Customer Segmentation of Online Retail: Utilized RFM quantile analysis and K-means clustering to segment over 500,000 transactions from a UK-based online retailer.
- 🏡 House Price Prediction in Bandung, Indonesia: Built a regression model based on the web-scraped data of 3,000 house prices in Bandung.
- 💳 Default Credit Scoring Prediction Models: Developed a classification model to predict credit card default payment in Taiwan.
- 🩺 Early Risk Diabetes Prediction: Developed a model to predict prediabetes risks using research data.
- ❤️ Heart Disease Prediction: Created a classifier to assess heart disease risks based on medical records.
- 🧬 Acute Leukimia Prediction: Constructed a prediction model based on gene expression data (DNA microarray) to discriminate whether patient's acute leukimia case is considered as AML (Acute Myeloid Leukimia) or ALL (Acute Lymphoblastic Leukimia)
- 📱 Early Diabetes Predictor App: A Streamlit app providing users with instant diabetes risk feedback.
- ❤️ Heart Disease Predictor App: Assists healthcare staff in assessing heart disease risk from medical records.
- 🏠 House Price Prediction App: Web-apps to predict house prices in the city of Bandung, Indonesia.
Feel free to explore the projects and Apps above. I’m always looking to collaborate on machine learning projects, so don’t hesitate to reach out if you’d like to work together!