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knearest-neighbor-algorithm

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Implemented Artificial Neural Networks, and K nearest neighbors for classification problems. Used cross-validation for improving model accuracy. Plotted different types of learning curves like error rates vs train data size, error rates vs clock time. Compared performance using learning curves and confusion matrices across algorithms.

  • Updated Sep 6, 2020
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Implementation to generate a model to predict the reliability of a loan to a customer using Statistical and Machine Learning classification techniques with Python, such as K Nearest Neighbor(KNN), Decision Tree, Support Vector Machine (SVM) and Logistic Regression. The bests weight parameters will be found according influence of Customer Loan Ph…

  • Updated May 28, 2021
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This Github repository contains projects related to KNN classification. Exploring Insights/Inferences by performing EDA on the given project data (Iphone purchase and Bangalore house price).

  • Updated Jan 5, 2024
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