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 ...

This important study presents a theoretically grounded framework for dimensionality reduction in single-cell RNA sequencing data, utilizing the principles of Riemannian manifolds. The proposed method ...

🚀 K-Nearest Neighbors (KNN) Classifier Implementation This repository demonstrates the implementation of the K-Nearest Neighbors (KNN) classification algorithm using Python and Scikit-learn. It walks ...

A k-nearest neighbors (kNN; ref. 21) classifier is then fit on Z ref using the integer-encoded labels derived from Y ref ⁠. In our implementation, we employ the KNeighborsClassifier from scikit-learn ...