A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
4️⃣ task4_prepare_data.py Loads the Iris dataset, explores it, and splits it into training (70%) and testing (30%) sets 5️⃣ task5_train_knn.py Trains a k-NN classifier (k=3) on the raw, unscaled ...
🚀 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 ...
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