Data Science Project : Rule Based Classification, by Cem ÖZÇELİK

Creating segments/personas from existing customers, classifying customers according to their qualifications, without the need for complex machine learning algorithms with less effort

Time Series Anomaly Detection: Simple Yet Powerful Approaches

Cem ÖZÇELİK – Medium

Performance evaluation of machine learning models for distributed

Unravel price elasticity of demand with atoti

Water, Free Full-Text

Demystifying Feature Engineering and Selection for Driver-Based

Data Classification: Definition, Types, & Best Practices

Data Mining-Rule Based Classification, PDF

Prediction of Drought Levels. This project was carried out as part

Cem ÖZÇELİK – Medium

Anomaly Detection in Industrial Applications: Solution Design

Diagnostics, Free Full-Text