Key Takeaways - To understand data science, one needs a lot of technical expertise along with business understanding. Generative AI, MLOps, and clou ...
Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
Objective The primary objective was to assess sex differences in long-term functional deterioration and permanent work ...
Background In 2024, Ecuador faced its most severe drought in over six decades, severely disrupting hydroelectric power ...
Customer Churn Prediction and Model Comparison is a telecom customer churn project using Python, pandas, scikit-learn, XGBoost and imbalanced-learn. It covers data validation, preprocessing, feature ...
"Last time we predicted 'what tomorrow's sales will be,' but this time I want to predict 'whether this customer will buy a new product or not.' Sending direct mail (DM) to everyone is costly, so I ...
Abstract: The rapid adoption of Electric Vehicles (EVs) necessitates advanced solutions for flexible charging (FC) systems to meet diverse user needs and optimize grid efficiency. This study ...
Abstract: Python is an increasingly popular programming language used in various software projects and domains. Code smells in Python significantly influences the maintainability, understandability, ...
This is the complete binary-classification companion to the Abalone linear-regression teaching project. It is designed for students to read cell by cell in VS Code or Jupyter and for instructors to ...
It was a productive 2025 for Burmese python hunter Kevin Pavlidis. Pavlidis once again captured the most pythons in December for the South Florida Water Management District's Python Elimination ...
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