Loan Delinquency Prediction

Developed a classification model to predict Heart stroke of patients from an unbalanced dataset

Data Science Portfolio

Build and evaluate several machine learning algorithms to predict credit risk

Supervised Learning..Build/Evaluate Machine algorithms to predict credit risk

Автоматический классификатор объектов железнодорожного транспорта

Utilizing data preparation, statistical reasoning, and supervised machine learning to solve a real-world challenge: credit card risk.

Bank Fraud Detection with Imbalanced Data: Applying Oversampling and Hyperparameter Optimization

Personal projects on AI and ML

Utility for common use cases and bug workarounds in Apache Spark 2

Performance comparison of classification algorithms

A sentiment analysis using SPAM/HAM Text Classification data using Support Vector Machines. Utilizes different variations of the Synthetic Minority Oversampling Technique (SMOTE-SVM, SMOTE-KNN).

This project is about the prediction of wine quality using machine learning algorithms

Stroke is a serious medical condition that occurs when the blood supply to part of the brain is interrupted or reduced, leading to brain damage and potential long-term disability or death. The risk of stroke is affected by a wide range of factors, including age, gender, hypertension, heart disease, obesity, and smoking.

The project involves building models for scoring & segregating users acccording to certain threshold criteria based on features from LinkedIn on threshold criteria-refer ReadMe.

A telemarketing model to predict campaign subscriptions in a portuguese bank institution.

Learning how to analyze imbalanced Data, implementing SMOTE and using unbalanced R package

센서 데이터를 활용한 공정 이상 예측 모델링