Machine Learning

Anomaly/Outlier Detection in a Financial Dataset

Machine Learning

Detecting anomalies in financial data involves using specialized algorithms to identify irregularities, enhancing risk management and fraud prevention

Advanced Classification techniques with Model Prediction Analysis

Machine Learning

Implementing advanced classification techniques for precise model prediction analysis to enhance accuracy and efficiency

Advanced Clustering and Prediction techniques

Machine Learning

Employing sophisticated clustering techniques with retail customer data and comparing further with prediction models

Advanced analysis on Linear and Non-Linear Regression models

Machine Learning

A Comprehensive Analysis on Housing Market. Utilizing regression methodologies for the purpose of analyzing trends within the housing market