An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.
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Updated
Mar 3, 2019 - Python
An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.
All my Machine Learning Projects from A to Z in (Python & R)
A brief notebook on Influence Function (IF) for classical generative models (e.g., k-NN, KDE, GMM)
KNN Is A Machine Learning Algorithm For Pattern Recognition That Finds The Nearest K Observations To Predict A Target.
The project was prepared and submitted within the Brazilian "Bootcamp Data Science na prática" by Neuron (https://www.facebook.com/neuronDSAI/photos/a.1924971354499031/2664668797195946/?type=3&eid=ARCBaznRnMGbE-iFheLbf7HyZpHcxpz7vT-F8J9Yl9_BrqHtwnjLsmdbyaE4l4nbEJKXWdg2aLyGuj7B&ifg=1).
This Prediction is a research analysis process on data using classification algorithms to compare the accuracy rate for each algorithm given below on this Monkey Pox data such as ( K-Neighbors Classifier, RandomForest Classifier, AdaBoost Classifier, Bagging Classifier, Gradient Boosting Classifier, Decision Tree Classifier )
supervised machine learning classifier model
A simple python script that implements K Nearest Neighbors Algorithm. University Assignment
Preditcs football player's playing position
Comparative analysis of various Machine Learning Classification algorithms on the diabetic prediction dataset.
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