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Topic: "scaling-the-data"

Ninad077/Machine_Learning-KNN_algorithm

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

Language: Jupyter Notebook - Size: 496 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Ninad077/Machine_Learning-Logistic_Regression

Content: Machine Learning, Logistic regression steps, Probability matrix, Confusion matrix, Accuracy score, Recall value, Data preprocessing, Label encoding, Scaling the data, Splitting train test data, Running Logistic Regression, Y prediction on test data, Class imbalance, Type 1 & Type 2 errors.

Language: Jupyter Notebook - Size: 898 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Related Topics
accuracy-score 2 data-preprocessing 2 machine-learning 2 recall-value 2 underfitting-and-overfitting 1 predicting-y-based-on-test-data 1 precision 1 performing-train-test-split 1 measures-to-overcome-underfitting-and-overfitting 1 knn-concept 1 evaluation-using-confusion-matrix 1 euclidean-distance 1 applying-k-neighbors-classifier 1 y-prediction-on-test-data 1 type-1-and-type-2-errors 1 splitting-train-test-data 1 probability-matrix 1 label-encoding 1 confusion-matrix 1 class-imbalance 1