Content: Machine Learning, KNN concept, Euclidean distance, Data preprocessing, Scaling the data, Performing train-test split, Applying KNeighbors Classifier, Predicting Y_pred based on X_test, Evaluation using Confusion Matrix, Accuracy score, Recall value & Precision, Underfitting & Overfitting, Measures to overcome Underfitting & Overfitting
machine-learning data-preprocessing precision euclidean-distance accuracy-score recall-value scaling-the-data knn-concept underfitting-and-overfitting performing-train-test-split applying-k-neighbors-classifier predicting-y-based-on-test-data evaluation-using-confusion-matrix measures-to-overcome-underfitting-and-overfitting
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Updated
May 6, 2024 - Jupyter Notebook