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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
Ninad077/Machine_Learning-KNN_algorithm
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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
Topics
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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