ICSE 2018 SMOTUNED

Loan Delinquency Prediction

Credit Card Fraud Detection model is developed to classify online transaction as either fradulent or genuine.

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.

Personal projects on AI and ML

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

Predicting the development of Psoriatic Arthritis using Feature Selection and Locally Linear Embedding

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

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

센서 데이터를 활용한 공정 이상 예측 모델링

Over- and under-sampled data using four algorithms and compared two machine learning models that reduce bias to identify the most reliable credit risk prediction model.

Credit Card Fraud Detection: Study and Implementation