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 ...
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 ...
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 ...
Abstract: Accurate evaluation of the leakage inductance of high-frequency transformers is significant for improving the operating model and power transmission efficiency of isolated dc-dc converters.
Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results